| Entries |
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| 20080201286 | Methods, Architecture, and Apparatus for Implementing Machine Intelligence and Hierarchical Memory Systems - Sophisticated memory systems and intelligent machines may be constructed by creating an active memory system with a hierarchical architecture. Specifically, a system may comprise a plurality of individual cortical processing units arranged into a hierarchical structure. Each individual cortical processing unit receives a sequence of patterns as input. Each cortical processing unit processes the received input sequence of patterns using a memory containing previously encountered sequences with structure and outputs another pattern. As several input sequences are processed by a cortical processing unit, it will therefore generate a sequence of patterns on its output. The sequence of patterns on its output may be passed as an input to one or more cortical processing units in next higher layer of the hierarchy. A lowest layer of cortical processing units may receive sensory input from the outside world. The sensory input also comprises a sequence of patterns. | 08-21-2008 |
| 20080201287 | Dissimilar item recommendation method, device, and program thereof - Recommendation method and device for selectively and by priority recommending to the user an item assumed highly unexpected to the user. A user accesses an item A using the selector unit of a client, and accesses an item B in a time period within a specified threshold, moreover when there is a low degree of similarity between item A and item B, a server forms A and B into a pair (A,B) and stores it in a neighboring selective item pair database. When another user accesses an item similar to A, then an item Y similar to item A or item B is recommended to the client unit by using the pair (A, B) recorded in the neighboring selective item pair database. | 08-21-2008 |
| 20080208784 | Systems and methods for modeling and analyzing networks - The systems and methods described herein utilize a probabilistic modeling framework for reverse engineering an ensemble of causal models, from data and then forward simulating the ensemble of models to analyze and predict the behavior of the network. In certain embodiments, the systems and methods described herein include data-driven techniques for developing causal models for biological networks. Causal network models include computational representations of the causal relationships between independent variables such as a compound of interest and dependent variables such as measured DNA alterations, changes in mRNA, protein, and metabolites to phenotypic readouts of efficacy and toxicity. | 08-28-2008 |
| 20080215516 | Systems and Methods for Predicting Consequences of Misinterpretation of User Commands in Automated Systems - Systems and methods are provided for processing and executing commands in automated systems. For example, command processing systems and methods are provided which can automatically determine, evaluate or otherwise predict consequences of execution of misrecognized or misinterpreted user commands in automated systems and thus prevent undesirable or dangerous consequences that can result from execution of misrecognized/misinterpreted commands. | 09-04-2008 |
| 20080222068 | Inferring Candidates that are Potentially Responsible for User-Perceptible Network Problems - Candidates that are potentially responsible for user-perceptible network problems may be inferred. In an example embodiment, a system includes an inference engine to produce a list of candidates that are potentially responsible for user-perceptible network problems, with the candidates being network components that may include both services and network elements. A response to a service request may be a non response, an incorrect response, an untimely correct response, or a timely correct response. The user-perceptible network problems may include the untimely correct response as well as the non response and the incorrect response. In another example embodiment, a method includes monitoring a network and producing a list of candidates that are potentially responsible for user-perceptible network problems. The candidates of the list may include both services and network elements of the monitored network. | 09-11-2008 |
| 20080222069 | SYSTEM AND METHOD FOR A LOGICAL-MODEL BASED APPLICATION UNDERSTANDING AND TRANSFORMATION - Disclosed is a method of and a system for establishing a logical-model based understanding of a legacy application. The method comprises the steps of providing a physical data model of the legacy application, said physical data model having a plurality of physical elements; establishing a logical data model for the legacy application, said logical data model having a plurality of logical model elements; and establishing links between said logical model elements and said physical elements. One of said physical or logical elements is selected, and said links are used to identify all of the physical or logical elements that are linked to said selected one of said elements. The preferred system may include a component for browsing and navigating the physical data model, logical data model, or the links between them, a component to answer queries about the application expressed using the logical data model, and a component to create a relational data model to support the migration of data stored in legacy databases (including flat files) to relational databases. | 09-11-2008 |
| 20080228685 | User intent prediction - In a process comprising a sequence of elections, a future election intended by a user is predicted from a frequent sequence of elections by the user and a frequent sequence of elections by a plurality of other users of the process or device. | 09-18-2008 |
| 20080228686 | Knowledge-Based Input Region of Interest Definition for Pharmacokinetic Modeling - The present invention provides a system, apparatus, and method that are based on a priori knowledge of the shape of the input function for defining an input region-if-interest (ROI) in pharmacokinetic modeling. Kinetic parameter estimation requires knowledge of tracer input activity and the present invention provides an automatic way to define an ROI for estimation of an input function that takes into account a priori knowledge of the shape of the input function based on an administered dose. As a result of the application of the present invention to existing imaging analysis systems, there is a reduction in the amount of manual interaction needed and operator dependence is thereby reduced in the evaluation of dynamic procedures. | 09-18-2008 |
| 20080235171 | GENERAL FRAMEWORK FOR GRAPHICAL SIMULATIONS - A system is described that treats a solver as an ordered sequence of steps involving the different objects that have to be simulated and relationships between them. Tasks and the order of the tasks are obtained from each object and relationship. The tasks are merged into a sorted list. The solver traverses the list and passing each task to a corresponding object and relationship where the objects are interleaved during processing. The object or relationship then executes the task. | 09-25-2008 |
| 20080235172 | Electronic System Condition Monitoring and Prognostics - A system for monitoring and predicting the condition of an electronic system comprises a component model, an inference engine based on the component model, and an action selection component that selects an action based on an output of the inference engine. | 09-25-2008 |
| 20080235173 | AUTONOMIC MANAGEMENT OF AUTONOMIC SYSTEMS - A method for the autonomic management of autonomic systems can include monitoring a managed system and recommending a course of action to be performed in the managed system. It can be determined whether the recommended course of action has been performed by an administrator. Responsive to the determination, it further can be determined whether an outcome from the course of action comports with a predicted outcome. If so, a point count can be changed responsive to a further determination that the outcome from the course of action comports with the predicted outcome. Conversely, the point count can be oppositely changed responsive to a further determination that the outcome from the course of action does not comports with the predicted outcome. In any case, when the point count crosses a threshold value, the management of the managed system can be transitioned to an adaptive component. | 09-25-2008 |
| 20080243744 | ADAPTIVE MULTI-CHANNEL ANSWERING SERVICE FOR KNOWLEDGE MANAGEMENT SYSTEMS - Embodiments of the present invention address deficiencies of the art in respect to inquiry resolution for KM systems and provide a method, system and computer program product for multi-channel answering services for inquiry resolution in a KM system. In an exemplary embodiment of the invention, a method for multi-channel answering services for inquiry resolution in a KM system can include receiving a request for interaction with an answering server of the KM system, extracting question text from the request along with question text meta-data, and deducing a context for the question text from the question text meta-data. Thereafter, the context can be analyzed to determine a preferred channel of communication, a preferred mode of interaction and a preferred delivery format for interacting with the answering server. Finally, the answer content can be provided for the question text according to the preferred channel of communication, the preferred mode of interaction and the preferred delivery format. | 10-02-2008 |
| 20080243745 | Human Level Artificial Intelligence Software Application for Machine & Computer Based Program Function - A method of creating human level artificial intelligence in machines and computer software is presented here, as well as methods to simulate human reasoning, thought and behavior. The present invention serves as a universal artificial intelligence program that will store, retrieve, analyze, assimilate, predict the future and modify information in a manner and fashion which is similar to human beings and which will provide users with a software application that will serve as the main intelligence of one or a multitude of computer based programs, software applications, machines or compilation of machinery. | 10-02-2008 |
| 20080243746 | Compact Decision Diagrams - In one embodiment, a method includes determining an initial projected size of a BDD representing data for storage. The projected size corresponds to an initial projected number of decision nodes composing the BDD. The method includes determining an initial node structure for the decision nodes of the BDD according to the initial projected size of the BDD. The initial node structure includes for each decision node a variable identifier (ID), a 1-edge pointer, and a 0-edge pointer each represented by a minimum number of bits accommodating the initial projected number of decision nodes composing the BDD. | 10-02-2008 |
| 20080243747 | PROPERTY DESCRIPTION COVERAGE MEASURING APPARATUS - A design automaton extractor extracts a design automaton from design description data, and a property automaton extractor extracts a property automaton from property description data corresponding to the design description data. A matched state detector counts all states of the design automaton, detects matched states matching the property automaton from all the states of the design automaton, and counts the matched states. A coverage calculator obtains a ratio of the number of matched states to the number of all the states of the design automaton, thereby calculating a coverage representing the degree of correspondence of the property description data to the design description data. | 10-02-2008 |
| 20080249969 | INTELLIGENT AGENT FOR DISTRIBUTED SERVICES FOR MOBILE DEVICES - Mobile devices, mobile device systems and methods applying to mobile devices are provided that employ intelligent agents in combination with a wide array of remote utilities and information sources to facilitate improving a mobile device user's experience. By collecting contextual information from numerous information sources related to the mobile device user's context, more accurate and optimized determinations and/or inferences are formed relating to which remote utilities to make available to the mobile device user. This facilitates less confusion for the user in selecting desired mobile device content, services, and/or applications. The devices, systems, and methodologies also provide for an improved user experience in an open remote utility provider model. | 10-09-2008 |
| 20080249970 | METHOD AND COMPUTER PROGRAM PRODUCT FOR SELECTING AMONG MULTIPLE PROVISIONING MECHANISMS IN A SELF-MANAGING COMPUTER SYSTEM - A computer implemented method and a computer program product provide a provisioning system for automated provisioning of a computing infrastructure by providing relationship factories with resources of the computing infrastructure. The relationship factories include information necessary for establishing relationships within the computing infrastructure. The provisioning system ranks relationship factories according to suitability to provide for appropriate provisioning of new resources added to the computing infrastructure. | 10-09-2008 |
| 20080249971 | Process and Heuristic Statistic for Prospect Selection Through Data Mining - Method, system, and article of manufacture for selecting prospects for a product promotion though data mining. An initial set of prospects in a customer database is identified, by data mining, as initially identified prospects based on predetermined selection criteria. The number of initially identified prospects is compared to a target number of prospects. When the number of initially identified prospects matches the target number of prospects, the initially identified prospects are utilized as the final selection of prospects. When the number of initially identified prospects mismatches the target number of prospects, the final selection of prospects is determined by performing a culling process or an augmenting process to reduce or increase, respectively, the initial set of prospects using a heuristic measure H, until the number of prospects in the initial set of prospects matches the target number of prospects. | 10-09-2008 |
| 20080249972 | SOFTWARE FRAMEWORK THAT FACILITATES DESIGN AND IMPLEMENTATION OF DATABASE APPLICATIONS - An intelligent framework is provided that is disposed between a high-level language environment and a database system environment. According to one embodiment, a software framework infers the need for one or more integrity constraints. The software framework programmatically receives (a) information regarding definitions of a multiple data structures associated with multiple objects participating in a software application, and (b) information regarding relationships among the data structures, where each object represents an instance of a data structure of the multiple data structures. Then, the software framework infers the need for one or more integrity constraints based upon the information regarding definitions of the data structures and the information regarding relationships among the data structures. Finally, the software framework instructs a storage system to apply the one or more integrity constraint. | 10-09-2008 |
| 20080256010 | NEURAL NETWORKS WITHIN A NETWORK MANAGEMENT SYSTEM - Preferred embodiments of the invention provide systems and methods to observe one or more network elements associated with a network, receive an indication of an event relating to one or more network element configurations associated with the network, observe a potential outcome associated with the network, store the potential outcome such that the potential outcome is associated with the event, determine a probable outcome based on the potential outcome and store the probable outcome such that the probable outcome is associated with the event. | 10-16-2008 |
| 20080256011 | Generalized reduced error logistic - The present disclosure is directed to a method for Generalized Reduced Error Logistic Regression (Generalized RELR). The method overcomes significant limitations in prior art logistic regression and non-generalized Reduced Error Logistic Regression (RELR) methods. The method is applicable to all current applications of logistic regression, but has significantly greater reliability and validity, using smaller sample sizes and large numbers of input variables, than prior art logistic regression methods. Further, unlike non-generalized RELR, the method of the present invention is not biased by the number of non-missing observations in independent variables. Rather, the method of the invention applies to repeated measures and multilevel designs. This Generalized RELR method also optimally scales solutions to achieve significantly greater accuracy than non-generalized RELR. This Generalized RELR method also automates variable selection to arrive at models with an optimal selection of variables. Variable selection features are not present in non-generalized RELR. | 10-16-2008 |
| 20080270336 | SYSTEM AND METHOD FOR THE AUTOMATED DISCOVERY OF UNKNOWN UNKNOWNS - Systems and methods are provided for determining unknown unknowns for at least one assisted decision making system. An assisted decision making system has an associated set of at least one story of interest. The system further comprises a plurality of inferencing algorithms. A given inferencing algorithm is operative to generate story fragments from data stored within an associated knowledge base. A first arbitrator is associated with the first assisted decision making system. The arbitrator accepts a story fragment from the plurality of inferencing algorithms if the story fragment is sufficiently related to a story of interest from the set of at least one story of interest. | 10-30-2008 |
| 20080275834 | Solution recommendation based on incomplete data sets - In accordance with one aspect of the present exemplary embodiment, a system determines a solution based on received data. An intake component receives an incomplete data set from one or more sources. A recommendation system transforms the incomplete data set into a semantic data set via latent semantic indexing, classifies the semantic data set into an existing cluster and provides one or more solutions of the existing cluster as one or more recommendations. | 11-06-2008 |
| 20080288429 | Adaptable Clinical Workflow - Method of generating a number of steps constituting an adaptable clinical workflow based on a recursive approach in which for each step of the workflow the following steps are executed: Selecting a number of knowledge bases to be included in a reasoning step on the basis of (a) goal(s), generating (a) query(ies) taking into account the goal(s), applying the selected knowledge bases and the generated queries to a reasoning engine so as to generate a solution, interpreting this solution by translating the solution given in a formal representation into (an) executable action(s) for the current step in the clinical workflow. | 11-20-2008 |
| 20080288430 | SYSTEM AND METHOD TO INFER ANOMALOUS BEHAVIOR OF MEMBERS OF COHORTS AND INFERENCE OF ASSOCIATE ACTORS RELATED TO THE ANOMALOUS BEHAVIOR - Inferring a probability of a first inference absent from a database at which a query regarding the inference is received. The first inference relates to identifying anomalous behavior of cohorts members, which identification can be used to identify crimes that are particularly difficult to detect, such as identity theft. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data. | 11-20-2008 |
| 20080294581 | Device Comprising a Sensor Arrangement and an Estimator | 11-27-2008 |
| 20080294582 | DYNAMIC DOMAIN ABSTRACTION THROUGH META-ANALYSIS - A modeled-based reasoning system and method including dynamic domain abstraction, includes the use of an abstraction determining module configured to identify an appropriate abstraction level for a system model of a real-world system to be analyzed, from a plurality of potential abstraction levels. A system reasoning module is configured to perform analysis on the system model of the real-world system at the abstraction level determined to be appropriate by the abstraction determining module. | 11-27-2008 |
| 20080294583 | SIMILARITY MATCHING OF A COMPETITOR'S PRODUCTS - In embodiments of the present invention improved capabilities are described for identifying a classification scheme associated with product attributes of a grouping of products of an entity, receiving a record of data relating to an item of a competitor to the entity, the classification of which is uncertain, receiving a dictionary of attributes associated with products, and assigning a product code to the item, based on probabilistic matching among the attributes in the classification scheme, the attributes in the dictionary of attributes and at least one known attribute of the item. | 11-27-2008 |
| 20080294584 | Customized electronic newspapers and advertisements - This invention relates to customized electronic identification of desirable objects, such as news articles, in an electronic media environment, and in particular to a system that automatically constructs both a “target profile” for each target object in the electronic media based, for example, on the frequency with which each word appears in an article relative to its overall frequency of use in all articles, as well as a “target profile interest summary” for each user, which target profile interest summary describes the user's interest level in various types of target objects. The system then evaluates the target profiles against the users' target profile interest summaries to generate a user-customized rank ordered listing of target objects most likely to be of interest to each user so that the user can select from among these potentially relevant target objects, which were automatically selected by this system from the plethora of target objects that are profiled on the electronic media. Users' target profile interest summaries can be used to efficiently organize the distribution of information in a large scale system consisting of many users interconnected by means of a communication network. Additionally, a cryptographically-based pseudonym proxy server is provided to ensure the privacy of a user's target profile interest summary, by giving the user control over the ability of third parties to access this summary and to identify or contact the user. | 11-27-2008 |
| 20080301076 | Systems and Methods for Analyzing Information Technology Systems Using Collaborative Intelligence - An information technology (IT) system of interest is analyzed using collaborative, community-based sharing of expert knowledge, analysis and advice through user-submitted analysis rules and/or user-submitted report templates. Users may submit rules that have been found to be useful in analyzing or managing IT systems. A rule may analyze a particular item of configuration data or performance data according to a predetermined criterion. Other users may apply these rules to their own systems' data and, thereby, utilize the collective expertise of the people who submitted the rules. Performance and configuration data from IT systems or components of the systems in various enterprises is collected and then sanitized by removing or masking identifying information before storing the sanitized data in a data warehouse. An IT manager may compare data from his/her IT system to historical data from the system or to data from IT systems having similar workloads, configurations, problems or according to other matching criteria, without obtaining confidential information about the comparison systems. Such comparisons may use the user-submitted rules. Reports are generated from these analyses and comparisons according to predefined and/or user-submitted report templates and report component templates for items such as text blocks, tables, graphs, charts and block diagrams. | 12-04-2008 |
| 20080301077 | System and Method for Medical Predictive Models Using Likelihood Gamble Pricing - A method for predicting survival rates of medical patients includes providing a set D of survival data for a plurality of medical patients, providing a regression model having an associated parameter vector β, providing an example x | 12-04-2008 |
| 20080313118 | METHOD AND APPARATUS FOR COMPONENT ASSOCIATION INFERENCE, FAILURE DIAGNOSIS AND MISCONFIGURATION DETECTION BASED ON HISTORICAL FAILURE DATA - A method (which can be computer implemented) fox inferring component associations among a plurality of components in a distributed computing system includes the steps of obtaining status information fox each pertinent component of the plurality of components, forming an N by D matrix, X, based on the status information, and factorizing the matrix X to obtain a first matrix indicative of the component associations to be inferred and a second matrix indicative of failure explanations for corresponding ones of the probe instances. N is a number of probe instances associated with a given time flame. D is a number of the plurality of components fox which the associations are to be inferred. Techniques are also presented for forming a database with the status information. | 12-18-2008 |
| 20080313119 | LEARNING AND REASONING FROM WEB PROJECTIONS - A system and method that facilitates and effectuates making an inference related to objects of interest within a context. A web projection component can generate sub graphs by projecting objects o interest onto a web graph representing a superset or partially overlapping set of objects to the objects of interest. An inference component can provide inferences relating to the quality of the objects of interest, adjustments to the context, and patterns recognized from graphical properties of the sub graphs. | 12-18-2008 |
| 20090006297 | OPEN-WORLD MODELING - The claimed subject matter provides systems and/or methods that facilitate generating an inference about events that may not have yet been observed. Open-world modeling can be used to take a history of observation so as to understand trends over time in the revelation of previously unseen events, and to make inferences with subsets of data that new unseen events will be seen. Thus, inaccuracies associated with predictions generated from incomplete data sets can be mitigated. To yield such predictions, open-world submodels and closed-world submodels that do not allow for previously unseen events can be combined via a model mixture methodology, which fuses inferences from the open- and close-world models. | 01-01-2009 |
| 20090006298 | IT RESOURCE EVENT SITUATION CLASSIFICATION AND SEMANTICS - An off-line knowledge acquisition process takes IT resource messages and automatically generates a set of rules used to provide situation categories for the resource messages/events. The off-line knowledge acquisition process generates an event-to-situation mapping file for efficiently mapping situation to events in runtime. Rules are fed back into a knowledge repository and process for reuse. The off-line knowledge acquisition process provides methods to reiterate the process of mining (autonomically and/or by human interaction) to improve the rules and confidence level assigning the situation categories. A runtime categorizer component uses the event-to-situation mapping file to add situation categories to the IT resource events. The runtime categorizer uses a plurality of annotator components each capable of adding a situation annotation to incoming messages based on rules generated by the off-line knowledge acquisition process. An assessment component chooses the best situation category from those annotated by the annotator components. | 01-01-2009 |
| 20090006299 | Method and system for constructing cognitive programs - The present invention is directed to a method of creating a program to solve a problem pertaining to a first task. In the method, user input data pertaining to a second task is received from an operator. The second task is different from the first task. A number of subprograms are automatically obtained based on the received user input data. The program is then created based on the obtained subprogram or subprograms. | 01-01-2009 |
| 20090012923 | Method and apparatus for distributing assignments - A method of assigning sets of assignments to at least one agent is provided. The agent(s) are capable of assuming a plurality of states. The method comprising, for each agent: constructing a graph having a plurality of vertices and a plurality of edges. Each vertex of the graph represents an assignment performable by the agent while being at a respective state, and each edge connects two vertices hence represents a transition between two states. The method further comprises assigning a predetermined weight for each vertex of the plurality of vertices; and using a longest-path algorithm for obtaining a path over the graph, the path having a plurality of connected vertices and being characterized by a substantial optimal objective function defined using respective weights of the plurality of connected vertices. The agent is thereby assigned with a set of assignments represented by the plurality of connected vertices of the graph. | 01-08-2009 |
| 20090012924 | MALFUNCTION CONDITION JUDGMENT APPARATUS, CONTROL METHOD, AUTOMOBILE AND PROGRAM - A malfunction condition judgment apparatus (MCJA) that judges malfunction condition (MC) of an observed object based on a change of observed values. The MCJA acquires time series data for values of each of a plurality of variables; calculates, with respect to each of the variables, a statistic defining a probability density function of that variable at T1, based on the value of that variable at T1 and that statistic at a point of time prior to T1; calculates dissimilarity showing an extent of variation between the statistic calculated for each variable and a statistic of a criterial probability density function predetermined corresponding to that variable; and picks, out of the plurality of variables, a variable for which the calculated dissimilarity is larger than a predetermined reference value, as the variable by which MC of the observation object is detected. | 01-08-2009 |
| 20090012925 | Observation-based user profiling and profile matching - Observation-based user profiling and profile matching are provided. The network behavior of users of a computer-implemented social network are observed and used for user profiling. By observing network behavior instead of necessarily relying on user self-reported data, accurate and objective user profiles can be formed; user profiling is accomplished based on the observed network behaviors with or without the knowledge of the user being profiled. The observed network behaviors can include the customization of a visual graphic, a media preference, a communication preference, or a selection of words from a word list. The user profiles can be with respect to a domain and two or more users can be matched based on their profiles with respect to the same domain. User ratings and profile updating based on the ratings are also provided. | 01-08-2009 |
| 20090024549 | Methods and Systems for Determining Entropy Metrics for Networks - Methods and systems for network monitoring using network metrics which are generalized entropy functions of the Markov monoid matrix M generated by an altered connection matrix C. | 01-22-2009 |
| 20090024550 | Systems and Methods for Wireless Network Selection - Systems and methods for selecting a wireless network are disclosed. In some embodiments, a method comprises receiving a first network device identifier for a first network device and a second network device identifier for a second network device, obtaining a first network profile comprising a first attribute, the first network profile based on the first network device identifier, obtaining a second network profile comprising a second attribute, the second network profile based on the second network device identifier, and selecting either the first network device identifier or the second network device identifier based on an attribute analysis of the first attribute and the second attribute. | 01-22-2009 |
| 20090030865 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM - An information processing apparatus includes plural information input units that input information including image information or sound information in an actual space, an event detecting unit that generates event information including estimated position information and estimated identification information of users present in the actual space by analyzing the information inputted from the information input unit, and an information-integration processing unit that sets probability distribution data of hypotheses concerning position and identification information of the users and executes generation of analysis information including user position information and user identification information of the users present in the actual space by updating and selecting the hypotheses on the basis of the event information. | 01-29-2009 |
| 20090037356 | SYSTEMS AND METHODS FOR GENERATING SALES LEADS DATA - A method and system for generating sales leads information from a plurality of online sources is disclosed. The method includes the following steps: | 02-05-2009 |
| 20090037357 | COMPUTER ARCHIVE TRAVERSAL - A method and apparatus for computer file system traversal. An embodiment of a method includes obtaining a computer archive, the computer archive including one or more data elements. The computer archive is traversed, with traversing the computer archive including processing a data element of the computer archive. Processing a data element includes reading a name of the data element, and determining whether to process the first data element based on the name of the first element. If the first data element is to be processed, the data element is extracted and traversal of the first data element continues. If the data element is not to be processed, the data element is skipped. A serial data stream representing selected data elements of the computer archive is output. | 02-05-2009 |
| 20090037358 | Computer Program Product and System for Autonomous Classification - An autonomous classification device which enables the creation of autonomous classifiers that are easy to deploy, adapt and optimize in the environment in which they are used. The classifier is autonomous in that it can perform three functions that define autonomic systems: automatically configure itself in an environment, optimize its performance using the environment and mechanisms for performance, and continually adapting to improve performance and heal itself in a changing environment. | 02-05-2009 |
| 20090043723 | WEB SERVER SYSTEM - When a mobile telephone requests a web server for HTML page data containing a link, the server generates an identifier and appends the identifier to the link. An HTML page containing the link with the appended identifier is generated by the web server and is transmitted from the web server to the mobile telephone. If content at the link destination of the link is requested by the mobile telephone, then the content is transmitted to the mobile telephone and an access log entry is recorded at the web server. The access log entry includes the identifier and the content request. In a case where identifiers are found to be in common, the number of times this content was accessed (requested) is construed to be a single time. Even if a single item of content is divided into multiple portions and requested multiple times, the number of times this content was accessed is treated as being a single time. The number of times access was performed can be calculated comparatively accurately. | 02-12-2009 |
| 20090048995 | EMBEDDED REACTIVE AND PROACTIVE INTELLIGENCE - A network device may include logic configured to invoke proactive programs based on the expiration of a long time period within the network device, wherein the proactive programs collect data relating to operations of the network device, invoke reactive programs based on the detection of at least one of an event or expiration of a short time period, wherein the reactive programs collect, correlate and analyze data relating to the detected event or expiration of a short time period, determine a corrective action based on collected and analyzed data, and perform the determined corrective action within the network device. | 02-19-2009 |
| 20090048996 | Computerized Modeling Method and a Computer Program Product Employing a Hybrid Bayesian Decision Tree for Classification - In a computerized hybrid modeling method and a computer program product for implementing the method, two classification techniques are integrated: expert elicited Bayesian networks and decision trees induced from data. Bayesian networks are a compact representation for probabilistic models and inference. They have been used successfully for many applications involving classification. The tree-based classifiers, on the other hand, have proven their ability to perform well in real world data under uncertainty. For classification purposes, the inference algorithms to compute the exact posterior probability of a target node, given observed evidence in a Bayesian network, are usually computationally intensive or impossible in a mixed model. In those cases, either the approximate results are computed using stochastic simulation methods or the model is approximated using discretization or Gaussian mixture before applying an exact inference algorithm. For a tree-based classifier, however, once the tree is constructed, the classification process is trivial. The hybrid approach synergistically combines the strengths of the two techniques. Such an approach trades off the accuracy and computation. Significant computational savings can be achieved with a minimum classification accuracy drop. | 02-19-2009 |
| 20090055338 | System, method and computer program product for interfacing a decision engine and marketing engine - A system, method and computer program product for interfacing a decision engine and a marketing engine in order to provide vendor-related data in response to decision-related data is disclosed. In at least one embodiment, the system and method may include providing a decision engine on a user-accessible network; interfacing a marketing engine with the decision engine on the network; receiving a plurality of user inputs with the decision engine; processing decision-related data with the decision engine in accordance with the plurality of user inputs; sharing the decision-related data with the marketing engine; processing the decision-related data with the marketing engine; and transmitting vendor-related data via the network. | 02-26-2009 |
| 20090055339 | PROCESS AND APPARATUS FOR EVALUATING OPERATIONAL RISKS FOR AIDING IN VEHICULAR MAINTENANCE DECISIONS - The invention relates to a method and devices for evaluating operational risks in order to aid in the decisions concerning maintenance operations on vehicles during scheduled utilization of the vehicle. Scheduled utilization comprises at least one utilization period. After the degradation of at least one of the components of the vehicle has been analyzed ( | 02-26-2009 |
| 20090063379 | AUTOMATED DECISION-MAKING BASED ON COLLABORATIVE USER INPUT - A system and method solicit decision-making input from a large number of users in a structured manner that facilitates generation of useful recommendations. The individual seeking advice posts a request for advice in the form of a decision question, or identifies a previously posted decision question. Visitors to the website can post secondary questions that are intended to assist the advice-seeker in making the decision. For each secondary question, the user posting the question can specify which choice for the decision question is recommended by each answer to the secondary question. The user can also specify a strength for the recommendation. The advice-seeker then inputs answers to the secondary questions. The advice-seeker can indicate a relative significance value for some or all of the answers. For each secondary answer, a score is generated. Scores are totaled and the results are provided to the advice-seeker to assist in decision-making. | 03-05-2009 |
| 20090076994 | Intelligent reputation attribution platform - Systems and methods allowing for the attribution of reputation to data sources (e.g., for the creation of referrals) are provided. In an illustrative implementation scores (e.g., reputation scores) are determined for a target entity connected a source entity on a network on a given dimension. In the illustrative implementation, an entity may be directly linked to any number of other entities on any number of dimensions, with each link having an associated score. Illustratively, each dimension has an associated transitive dimension. A directed path on a given dimension between two entities, a source and a target, consists of a directed link from the source entity to an intermediate entity, prefixed to a directed path from the intermediate entity to the target entity. In the illustrative implementation, links on the path can travel on the transitive dimension associated with the given dimension. | 03-19-2009 |
| 20090076995 | USER STATE PRESUMPTION SYSTEM, USER STATE PRESUMPTION METHOD, AND RECORDING MEDIA STORING USER STATE PRESUMPTION PROGRAM - A user state presumption system includes a category storage, a transition model recorder, a log receiver, a log abstracting par, a behavior categorizing part, a category presuming part, a transition probability storage, a transition probability calculator, an intended behavior judging part; an intended behavior probability recorder; and an intended behavior probability calculator. | 03-19-2009 |
| 20090076996 | Multi-Classifier Selection and Monitoring for MMR-based Image Recognition - A MMR system that uses multiple classifiers for predicting, monitoring, and adjusting index tables for image recognition comprises a plurality of mobile devices, a pre-processing server or MMR gateway, and an MMR matching unit, and may include an MMR publisher. The MMR matching unit includes a plurality of recognition unit and index table pairs corresponding to classifiers to be applied to received image queries, as well as an image registration unit for storing and monitoring performance data for the classifiers. The MMR matching unit receives the image query and identifies, using a classifier set, a result including a document, the page, and the location on the page corresponding to the image query. The present invention also includes methods for monitoring online performance of a multiple classifier image recognition system, for classifier selection and comparison, and for offline classifier prediction. | 03-19-2009 |
| 20090083205 | ASSISTING A USER EXPERIENCING COGNITIVE DECLINE BY RETRACING FOOTSTEPS - Briefly, in accordance with one or more embodiments, a user experiencing cognitive decline or a similar affliction may be assisted with the performance of daily tasks or routines. An information handling system installed in a central room of the user's living quarters, such as a kitchen, to observe the user and determine if the user is having difficulty completing the task or routine. If it is determined that the user is experiencing difficulty, the information handling system may provide one or more cues to the user to assist the user in remembering what the user has just completed in order to indicate to the user what part of the task remains to be completed. For example, the steps recently taken by the user may be retraced by projecting an image of those footsteps onto the floor to show the user where she has recently been. | 03-26-2009 |
| 20090083206 | Apparatus and Method for Constructing Prediction Model - A prediction model constructing apparatus includes a operational result database, similarity calculating means, and prediction model constructing means. The operational result database relates manufacturing conditions of a product manufactured in the past to result information on the manufacturing, and stores a plurality pieces of information obtained by relating the manufacturing conditions to the result information. The similarity calculating means calculates a similarity composed of a plurality of comparison results by comparing the manufacturing conditions stored in the operational result database with a manufacturing condition of a prediction target. The prediction model constructing means determines a parameter of a prediction model corresponding to the manufacturing condition of the prediction target. | 03-26-2009 |
| 20090083207 | Event-Based Anticipation Systems, Methods and Computer Program Products for Associative Memories - A time of occurrence of an interest event of multiple events is anticipated based on time intervals between at least two previously occurring events and a previous occurrence of the interest event and based on a new occurrence of at least one of the events. For a respective event, multiple inter-event interval pairs based on occurrence times of pairs of respective remaining events relative to an occurrence time of the respective event are memorized. For a respective event, a time of future occurrence of the interest event from the respective event is predicted based on the inter-event interval pairs that have been memorized. The predicted time of future occurrence is also based on the new occurrence of the respective event and at least one of the events to obtain multiple interest event predictions of times of future occurrences of the interest event. The predictions are processed to generate an anticipated time when the interest event will occur in the future. A user is presented at least one of the interest event predictions and/or the anticipated time when the interest event will occur in the future. | 03-26-2009 |
| 20090089235 | PATTERN IDENTIFICATION METHOD, PARAMETER LEARNING METHOD AND APPARATUS - In a pattern identification method in which input data is classified into predetermined classes by sequentially executing a combination of a plurality of classification processes, at least one of the classification processes includes a mapping step of mapping the input data in an N (N≧2) dimensional feature space as corresponding points, a determination step of determining whether or not to execute the next classification process based on the corresponding points, and selecting step of selecting a classification process to be executed next based on the corresponding points when it is determined in the determination step that the next classification process should be executed. | 04-02-2009 |
| 20090089236 | Method and System for Identifying Information Related to a Good - A method and a system identify information placed on a good to be processed, and the way of processing the good depends on this information. With regard to the method, the following steps are performed reading the information by an identifier and speaking the information as a voice message into an information retrieval system; delivering the voice message to a plurality of voice recognition systems; analyzing the voice message in each of the plurality of voice recognition systems and identifying a preliminary result; evaluating the preliminary results in order to identify the most probable result among the preliminary results best matching the initial information; and assigning the most probable result to the respective good. The system provides a reliable, high-speed multi speech recognition even in high ambient noise environments without the cost and complexity of introducing an OCR. | 04-02-2009 |
| 20090094181 | METHOD OF ESTIMATING SALT CONTAMINATION - A method of estimating a salt contamination is provided. The method includes preparing salt contamination data measured at a plurality of areas, preparing geographical factor data of areas for estimating, preparing rainfall amount data near the areas, setting a correlation expression having the geographical factor and the rainfall amount as variables, and estimating salt contamination of the areas for estimating according to the rainfall amount. | 04-09-2009 |
| 20090094182 | AUTOMATED METHODS AND SYSTEMS FOR THE DETECTION AND IDENTIFICATION OF MONEY SERVICE BUSINESS TRANSACTIONS - The present disclosure provides an automated method for the detection and identification of money service business transactions, including: performing a preprocessing operation, wherein the preprocessing operation includes filtering a dataset; performing a feature extraction operation, wherein the feature extraction operation includes extracting predetermined features from a transaction signal; performing a statistical analysis operation for the testing of significance of extracted features and dimension reduction; and performing one or more of a nonlinear classification operation and a linear classification operation, wherein the nonlinear or linear classification operation includes classifying data that appears to be related to a money service business transaction. | 04-09-2009 |
| 20090099990 | OBJECT DETECTION AND RECOGNITION WITH BAYESIAN BOOSTING - An efficient, effective and at times superior object detection and/or recognition (ODR) function may be built from a set of Bayesian stumps. Bayesian stumps may be constructed for each feature and object class, and the ODR function may be constructed from the subset of Bayesian stumps that minimize Bayesian error for a particular object class. That is, Bayesian error may be utilized as a feature selection measure for the ODR function. Furthermore, Bayesian stumps may be efficiently implemented as lookup tables with entries corresponding to unequal intervals of feature histograms. Interval widths and entry values may be determined so as to minimize Bayesian error, yielding Bayesian stumps that are optimal in this respect. | 04-16-2009 |
| 20090099991 | METHOD AND SYSTEM FOR PREDICTING PROCESS PERFORMANCE USING MATERIAL PROCESSING TOOL AND SENSOR DATA - A method for constructing a process performance prediction model for a material processing system, the method including the steps of: recording tool data for a plurality of observations during a process in a process tool, the tool data comprises a plurality of tool data parameters; recording process performance data for the plurality of observations during the process in the process tool, the process performance data comprises one or more process performance parameters; performing a partial least squares analysis using the tool data and the process performance data; and computing correlation data from the partial least squares analysis. | 04-16-2009 |
| 20090099992 | BOUNDED-DEFERRAL POLICIES FOR GUIDING THE TIMING OF ALERTING, INTERACTION AND COMMUNICATIONS USING LOCAL SENSORY INFORMATION - The present invention relates to a system and method to facilitate communications of important messages, communications, or interactions. Policies are introduced that consider a user's current situation, including the cost of interrupting the user, or directly sensed surrogates for such a cost, and decide on a suitable time, within a deadline for delivering the information or establishing a communication. Deadlines for delivery are determined based on the urgency of the information that is inferred or detected from the message sender, type, and content. If a suitable context is not detected within a deadline, the information is delivered at the deadline. If it is determined that a suitable context will not achieved within a deadline, the information is transmitted immediately. Suitable contexts for delivery can be determined via the use of one or more sensors on or near endpoint devices, including accelerometers, microphones, touch sensing, and gaze and head pose detection. Other information, including appointment status as indicated on a user's calendar, the time of day, and previously assessed patterns of availability can be employed in decisions about the deferral of alerts. Endpoint sensors, calendar information, and patterns of availability also may used to identify the likelihood that information will be received at a device. Such information can be passed back directly or in a summary form as the likelihood of transmission success to a central notification manager or used locally in decisions about the salience and repetition of alerting. | 04-16-2009 |
| 20090106179 | SYSTEM AND METHOD FOR THE LONGITUDINAL ANALYSIS OF EDUCATION OUTCOMES USING COHORT LIFE CYCLES, CLUSTER ANALYTICS-BASED COHORT ANALYSIS, AND PROBABLISTIC DATA SCHEMAS - A computer implemented method, computer program product, and data processing system for performing analysis on a plurality of data stored in a database. In an illustrative method, a first cohort is generated from the plurality of data. An optimal control cohort is generated from the plurality of data. Generating is performed based on the first cohort and at least one constraint, and a mathematical process is used to derive the optimal control cohort. A first inference is generated based on a comparison of the first cohort to the optimal control cohort, wherein the first inference is absent from the database. In an illustrative example, the first inference is stored. | 04-23-2009 |
| 20090112783 | METHOD AND SYSTEM OF ASSOCIATING A RUNTIME EVENT WITH A COMPONENT - A method and a system of associating a runtime event with a component. The method includes catching the runtime event; catching the context of the current running environment and determining the current component based on said context; and getting the associating policy of current component and determining the responsible component associated with said runtime event based on said associating policy. | 04-30-2009 |
| 20090112784 | TILE ARCHITECTURAL STYLE FOR PRIVACY-PRESERVED DISTRIBUTED COMPUTING - A method and system for privacy-preserved distributed computing on large networks using a tile-based architecture is disclosed. An expression for a tile seed assembly characterizing a problem, such as an NP-complete problem, may be determined. The solution to the tile seed assembly is a full tile assembly including a plurality of tile types. In a network of participating nodes, a tile type may be assigned to each node. A description of a tile type specific to a node may be provided to each node. A tile seed assembly may be established on selected nodes. Through progressive recruitment and replication, the tile assembly may mature, in response to the problem being solvable, into a full tile assembly having a solution. The solution may be received by the client computer. | 04-30-2009 |
| 20090112785 | SMART BUTTON - The present invention provides for systems and methods that facilitate conveying user information between and among users effectively to thereby create a collaborative filtering environment with maintained user privacy. More specifically, the present invention allows user-profile building to occur coincident with user-browsing, for example. This can be accomplished in part by incorporating an input component on the user interface used for browsing and/or searching. A user who has opted-in to construct a personal profile makes declarations regarding his relationship with at least a portion of the information being currently viewed. The declarations are annotated to the user's profile. At the user's discretion, the user's profile can be disseminated to others in whole or in part such that other people can make use of the user's expertise, experience or opinions. In addition, the user profiles can be machine-readable and searchable. | 04-30-2009 |
| 20090119238 | METHOD AND SYSTEM FOR PREDICTING RESOURCE USAGE OF REUSABLE STREAM PROCESSING ELEMENTS - A method is provided for generating a resource function estimate of resource usage by an instance of a processing element configured to consume zero or more input data streams in a stream processing system having a set of available resources that comprises receiving at least one specified performance metric for the zero or more input data streams and a processing power of the set of available resources, wherein one specified performance metric is stream rate; generating a multi-part signature of executable-specific information for the processing element and a multi-part signature of context-specific information for the instance; accessing a database of resource functions to identify a static resource function corresponding to the executable-specific information and a context-dependent resource function corresponding to the context-specific information; combining the static resource function and the context-dependent resource function to form a composite resource function for the instance; and applying the resource function to the at least one specified performance metric and the processing power to generate the resource function estimate of the at least one specified performance metric for processing by the instance. | 05-07-2009 |
| 20090119239 | Agent security via approximate solvers - Efficient heuristic methods are described for approximating the optimal leader strategy for security domains where threats come from unknown adversaries. These problems can be modeled as Bayes-Stackelberg games. An embodiment of the heuristic method can include defining a patrolling or security domain problem as a mixed-integer quadratic program. The mixed-integer quadratic program can be converted to a mixed-integer linear program. For a single follower (e.g., robber or terrorist) scenario, the mixed-integer linear program can be solved, subject to appropriate constraints. For embodiments applicable to multiple follower situations, the relevant mixed-integer quadratic program and related mixed-integer linear program can be decomposed, e.g., by changing the response function for the follower from a pure strategy to a weighted combination over various pure follower strategies where the weights are probabilities of occurrence of each of the follower types. | 05-07-2009 |
| 20090119240 | Network of Networks of Associative Memory Networks for Knowledge Management - Associative memory systems, methods and/or computer program products include a network of networks of associative memory networks. A network of entity associative memory networks is provided, a respective entity associative memory of which includes associations among a respective observer entity and observed entities that are observed by the respective observer entity, based on input documents. A network of feedback associative memory networks includes associations among observed entities for a respective positive and/or negative evaluation for a respective task of a respective user. A network of document associative memory networks includes associations among observed entities in a respective observed input source, such as a respective input document. A network of community associative memory networks includes associations among a respective observer entity, observed entities that are observed by the respective observer entity, and observed tasks of users in which the observer entity was queried. Associations may be observed into and imagined from the network of networks of associative memory networks. | 05-07-2009 |
| 20090132453 | SYSTEMS AND METHODS FOR PRIORITIZING MOBILE MEDIA PLAYER FILES - Disclosed are embodiments of systems and methods for prioritizing mobile media player files by providing for the automated addition and/or deletion of media items for a mobile media player. In some embodiments, a statistical method may be provided for inferring which media items on a mobile media player should be deleted based on, for example, user taste data. In some embodiments, new media items may be loaded onto a user's mobile media player by creating one or more playlists from a playlist builder. The playlist(s) may be created by using user taste data. Rankings may also be created to determine an order for deletion of the media items currently on a mobile media player and/or for addition of new media items to the device. | 05-21-2009 |
| 20090132454 | SYSTEM FOR MATCHING PATTERN-BASED DATA - A pattern-based data matching system matches pattern-based data. The data matching system generates a regular expression pattern for input datasets and describes similarity measures between the generated patterns. The data matching system analyzes an input dataset in terms of symbol classes, generalizing input values into a general pattern to allow identification or extrapolation of overlap between input datasets, aiding in matching fields in databases that are being merged and in learning a pattern for an input dataset. For each sequence of data values, the present system computes a compact pattern describing the sequence. Embodiments of the data matching system comprise noise reduction and repetitive pattern discovery in the input dataset and calculation of recall and precision of the generated pattern. | 05-21-2009 |
| 20090132455 | AUTOMATED METHOD AND SYSTEM FOR CASE MATCHING ASSESSMENT BASED ON GEOMETRICAL EVALUATION OF STAGES IN TREATMENT PLAN - Methods and systems for characterizing a dentition of a patient including receiving an initial dentition of a patient, generating an initial profile representing the initial dentition of the patient, identifying an initial malocclusion from the initial profile, comparing at least a portion of the initial profile with one or more reference profiles of reference dentitions, wherein said one or more reference profiles includes a reference malocclusion substantially similar to the initial malocclusion, and calculating a value for the closeness of the initial profile and the reference profile are provided. | 05-21-2009 |
| 20090138422 | Methods for making collective decisions independent of irrelevant alternatives - Methods for making collective decisions independent of irrelevant alternatives. A preferred alternative found, using weighted preference lists while restricting the impact of spoilers, is considered as Independent Collective Choice. If a list is required, it is added to an ordered list of Independent Collective Choices and removed from weighted lists, and finding, adding, and removing are repeated. When selection of a plurality of alternatives with proportional representation is required, the lowest ranked alternative in an Independent Collective Choice Ordered List is removed to find the alternatives with predetermined quota. Some embodiments apply collective choice procedures repeatedly to select the highest ranked alternative, compare the outcomes before and after the removal of alternative combinations, and use the selection of Independent Collective Choice recursively and iteratively when selecting highest or lowest ranked alternatives. Various embodiments can be in decision making systems including humans and machines for selection, sorting, and prediction problems. | 05-28-2009 |
| 20090138423 | VEHICLE HEALTH MONITORING REASONER ARCHITECTURE FOR DIAGNOSTICS AND PROGNOSTICS - A health monitoring system for a vehicle system includes a plurality of managers and a decision support module. Each manager corresponds to a different sub-system of the vehicle system, and generates manager output pertaining to the sub-system based at least in part on an intermediate output. Each manager comprises a plurality of reasoners. Each reasoner corresponds to a different component of the sub-system, and comprises a plurality of modules and a reasoner fusion block. Each module obtains data regarding a different aspect of the component and generates a preliminary output based on the data. The reasoner fusion block is coupled to the plurality of modules, receives the preliminary output, and generates the intermediate output based on the preliminary output. The decision support module is coupled to the plurality of managers, receives the manager output therefrom, and provides a decision support output based on the manager output. | 05-28-2009 |
| 20090144213 | GRAPH PATTERN RECOGNITION INTERFACE - In some example embodiments, a system and method are illustrated as including receive pattern data that includes transaction data relating to transactions between persons. Next, the system and method may include building at least one secondary network based upon the pattern data. Additionally, the system and method may include displaying the at least one secondary network. | 06-04-2009 |
| 20090144214 | Data Processing System And Method - Embodiments of the invention relate to a method of selecting events for prediction, the method comprising determining candidate events for prediction; determining, for each candidate event, a network of cause events associated with the candidate event; determining, for each cause event, a probability of occurrence in respect of the associated candidate events; and selecting candidate events for prediction based on respective confidence levels of the networks of cause events. | 06-04-2009 |
| 20090144215 | SYSTEM AND METHOD FOR PROVIDING INTELLIGENT PRE-STAGING OF DATA IN A COMPUTE ENVIRONMENT - A system, computer-readable medium and method for performing intelligent data pre-staging for a job submitted to a cluster environment. The method aspect comprises determining availability of compute resources including availability timeframes to process the submitted job, determining data requirements for processing the job and determining a co-allocation in time reservation. | 06-04-2009 |
| 20090150315 | Neoplastic Disease-Related Methods, Kits, Systems and Databases - In one embodiment, the invention provides methods for predicting a clinical outcome of a patient's neoplastic disease comprising: (a) determining a predictor value algorithmically using patient sample values for (1) at least one tumor marker or at least one immune marker, and (2) at least one marker that is (i) an extracellular matrix (ECM) marker (ii) a marker that is indicative of extracellular matrix synthesis (fibrogenesis), or (iii) a marker that is indicative of extracellular matrix degradation (fibrolysis); and (b) predicting the clinical outcome of the neoplastic disease by evaluating the predictor value. | 06-11-2009 |
| 20090150316 | Methods and Systems for Evaluating Behavior in Relation to Ethical Values - Methods and system for evaluating the behavior of users in relation to one or more ethical values are provided. The methods can comprise obtaining inputs from stakeholders or proxies rating the performance of the user in relation to the one or more ethical values. The inputs can be processed so that inputs of greater importance to the user are given a higher weight than inputs of lesser importance. An overall rating of the performance of the user in relation to the ethical values can then be determined based on the weighted inputs. The methods can be performed using systems comprising a computing device that accepts the ratings, and is programmed with an algorithm that weights the ratings and calculates the overall rating based on the weighted ratings. | 06-11-2009 |
| 20090150317 | Information processing apparatus, information processing method and program - An information processing apparatus includes a target storage means, a control means, a decision means, a prediction means and a generating means, in which the decision means, when determining that the system state makes a transition to a state represented by the target value in accordance with the output of the time series of motor signals generated by the generating means, updates a parameter representing the relationship between input and output, which is used by the control means for controlling the system based on the time series of motor signals generated by the generating means and a time series of sensor signals observed in accordance with the output of the time series of motor signals. | 06-11-2009 |
| 20090157582 | METHOD OF ORGANIZING SOFTWARE DESIGN DECISION INSTANCES - A method of organizing received decision instances based on reference architecture, including determining a respective particular project phase attribute for each of the decision instances, classifying the decision instances, determining a respective scope attribute for each of the decision instances, categorizing the decision instances in accordance with each of the respective scope attributes thereof, for all decision instances with the same categorization and with the same classification, ordering the corresponding decision instances by model elements, modeling directed links between apparently dependent decision instances, analyzing the dependent decision instances to confirm that the decision instances satisfy the apparent dependencies represented by the directed links and producing an error message if a result of the analysis is negative, and generating a real-time updateable and/or modifiable to-do list interface. | 06-18-2009 |
| 20090157583 | ROUTE TRANSFER BETWEEN DEVICES - A user can intend to travel between different locations and employ different traveling manners to reach an intended travel destination. At different points, different devices can be employed for disclosing a route. For instance, as a user walks, a route can be integrated into a personal electronic device, such as a cellular telephone. An evaluation can take place that due to specific route details, for example detailed text, a particular device would be superior for presentment over another. | 06-18-2009 |
| 20090157584 | FEATURE SELECTION - A method of feature selection applicable to both forward selection and backward elimination of features is provided. The method selects features to be used as an input for a classifier based on an estimate of the area under the ROC curve of each of the classifiers. Exemplary applications are in homecare or patient monitoring, body sensor networks, environmental monitoring, image processing and questionnaire design. | 06-18-2009 |
| 20090157585 | Method for predicting citation counts - A computerized process to predict citation counts of articles comprising the steps of receiving an article through an input, obtaining, through the input, a selected set of articles exclusive of the article, storing in a memory the set of articles and the article, extracting through a computer processor an article feature from each article in the stored set of articles, constructing models through the computer processor using a pattern recognition process and the article feature, selecting, through the processor, a best model, predicting by application of the best model to the article by the processor a future citation count of the article, outputting, the article comprising the future citation count and controlling through a publication controller unit, distribution of the article. | 06-18-2009 |
| 20090164402 | SYSTEM AND METHOD FOR ANNOTATING AND RANKING REVIEWS WITH INFERRED ANALYTICS - The present invention is directed towards methods and computer readable media for annotating and ranking user reviews on social review systems with inferred analytics. A reference framework is provided by creating context according to previous activity, bias, or background information of a given reviewer. The method of the present invention comprises receiving a first query identifying a given content item, generating a collection of content items based on one or more identical objective attributes associated with the given content item, identifying one or more subjective attributes associated with a given item in the collection of items, and providing a reference framework to interpret the subjective attributes associated with each item in the collection. | 06-25-2009 |
| 20090164403 | Methods and systems for indicating behavior in a population cohort - Avatars, methods, apparatuses, computer program products, devices and systems are described that carry out identifying a member of a population cohort; and indicating at least one behavior in the member of the population cohort based on an association between the population cohort and at least one cohort-linked avatar. | 06-25-2009 |
| 20090164404 | METHOD FOR EVALUATING PATENTS - A method includes extracting a plurality of patent parameters from each patent asset of a first data set comprising a first set of patent assets. The plurality of patent parameters of each patent asset of the first data set is fed to a decision tree tool. A decision tree involving interaction between the plurality of patent parameters is generated using a classification based methodology via the decision tree tool. Each patent asset of a second data set including a second set of patent assets is rated based on the generated decision tree. Each patent asset is provided a relative rating, an absolute rating, or a combination thereof. | 06-25-2009 |
| 20090164405 | Online Sparse Matrix Gaussian Process Regression And Visual Applications - An online sparse matrix Gaussian process (OSMGP) uses online updates to provide an accurate and efficient regression for applications such as pose estimation and object tracking. A regression calculation module calculates a regression on a sequence of input images to generate output predictions based on a learned regression model. The regression model is efficiently updated by representing a covariance matrix of the regression model using a sparse matrix factor (e.g., a Cholesky factor). The sparse matrix factor is maintained and updated in real-time based on the output predictions. Hyperparameter optimization, variable reordering, and matrix downdating techniques can also be applied to further improve the accuracy and/or efficiency of the regression process. | 06-25-2009 |
| 20090171875 | SYSTEMS, METHODS AND APPARATUSES FOR RANK COORDINATION - Embodiments of the invention are generally directed to systems, methods, and apparatuses for rank coordination. In some embodiments, a host includes rank coordination logic. The rank coordination logic may include performance measurement logic to measure a performance of a memory channel and dwell period control logic to select a length of a dwell period based, at least in part, on the performance of the memory channel. Other embodiments are described and claimed. | 07-02-2009 |
| 20090171876 | Cover type controlled graph rewriting based parallel system for automated problem solving - The invention gives desired algorithmic solutions, even impossible to derive denumerably from preceding ones, as transducers for any kind of problem, e.g. groups of equations or construction puzzles with variables unlimited even by type. The invention treats problems as triples of a mother graph as the subject of the problem, a solving determining recognizer and limit demands for proper solution types. The invention disperses the mother graphs into abstract partial problems regarding chosen interacting rewriting types with mutual relations controlling profoundness in memory hunting, and by bijective partitions creates abstract sisters for those conceptual graphs. As solutions for the examined problems are micros for the parallel transducers of macros of known solving transducers having common parts with substances of those macros and being not necessarily limited to reducing ones. All conceivable solutions are obtained interacting rewrite type being right sides distinct generalized cover renetting, if the mother graph is denumerable and contents in iteration are not expanded. As an exact universal mathematical structure of controlling inventiveness the invention can be considered as the prime algorithm of independently programs inventing machines for problem solving. | 07-02-2009 |
| 20090171877 | Printer - A printer includes a use status computation section which collects statistics of a use status of an analyzed print job and computes a use frequency and an execution interval of a language translation program based on a result of the statistics, and a resident mode switching section which causes a language translation program with a highest use frequency to initially stay resident in a memory and further causing a language translation program with a high use frequency and a long execution interval to stay resident next to the language translation program with the highest use frequency in the memory. | 07-02-2009 |
| 20090171878 | PROVABLE DATA INTEGRITY VERIFYING METHOD, APPARATUSES AND SYSTEM - The present invention proposes a Provable Data Integrity (PDI) verifying method, in which data are firstly fingerprinted at a client, and the fingerprints are sent to an archive along with the data; when necessary, the client sends a “challenge” to the archive so as to determine the integrity of the data, and the archive proves the integrity of the data by using the received fingerprints; and finally, the client verifies the integrity of the data based on the output from the archive in response to the “challenge”. | 07-02-2009 |
| 20090177604 | Telecommunications-Based Social-Trust Networks - A method of facilitating the construction, maintenance, and usage of social-trust networks is disclosed. The illustrative embodiment monitors the call processing details of communication events between users of a telecommunications system as the basis for estimating whether or not a relationship exists between the users that can be exploited in a social-trust network. This is possible because the call processing details of communication events between users is an excellent indicator of the nature of the relationship between users. For example, if Alice calls Brian three times a day on average, including nights, weekends, and holidays, and Brian answers Alice's calls quickly and returns her unanswered calls quickly, then it is reasonable to infer that Alice and Brian have a relationship that is substantial enough to be used in a social-trust network. | 07-09-2009 |
| 20090177605 | RISK ASSESSMENT WITHIN AN AIRCRAFT - A risk assessment method and system. The method includes receiving by an inference engine, first sensor cohort data associated with a first cohort located within an aircraft. The inference engine receives first group technology inferences associated with the first cohort. The inference engine generates first risk cohort inferences based on the first group technology inferences and the first sensor cohort data. The inference engine receives first inference data comprising a first plurality of inferences associated with the first cohort. The inference engine generates second inference data comprising a second plurality of inferences associated with the first cohort. The second inference data is based on the first inference data and the first risk cohort inferences. The inference engine generates a first associated risk level score for the first cohort. The computing system stores the second inference data and the first associated risk level score. | 07-09-2009 |
| 20090177606 | RISK ASSESSMENT IN A PRE/POST SECURITY AREA WITHIN AN AIRPORT - A risk assessment method and system. The method includes receiving by an inference engine, first sensor cohort data associated with a first cohort located within a pre/post security area within an airport. The inference engine receives first group technology inferences associated with the first cohort. The inference engine generates first risk cohort inferences based on the first group technology inferences and the first sensor cohort data. The inference engine receives inference data comprising inferences associated with the first cohort. The inference engine generates second inference data comprising a second plurality of inferences associated with the first cohort. The second inference data is based on the inference data and the first risk cohort inferences. The inference engine generates a first associated risk level score for the first cohort. The computing system stores the second inference data and the first associated risk level score. | 07-09-2009 |
| 20090177607 | SITUATION PRESENTATION SYSTEM, SERVER, AND COMPUTER-READABLE MEDIUM STORING SERVER PROGRAM - A situation presentation system includes a terminal and a server. The terminal includes a situation data acquisition device that acquires situation data and a terminal transmission device that transmits the situation data to the server. The server includes a server situation data storage device that stores the situation data transmitted from the terminal, a content storage device that stores a content including a character string, a condition determination device that analyzes the character string included in the content to determine a situation data condition, a situation data extraction device that extracts the situation data that satisfies the situation data condition from the server situation data storage device, a content update device that stores the analyzed content into the content storage device after adding at least one of edited data and the extracted situation data to the content, and a presentation device that presents the content. | 07-09-2009 |
| 20090187522 | System and Method for Privacy Preserving Predictive Models for Lung Cancer Survival Analysis - A computer-implemented method for privacy-preserving data mining to determine cancer survival rates includes providing a random matrix B agreed to by a plurality of entities, wherein each entity i possesses a data matrix A | 07-23-2009 |
| 20090192960 | EFFICIENT WEIGHTED CONSISTENT SAMPLING - A method and a processing device may be provided for performing efficient weighted consistent sampling. A group of sets having multiple elements with associated weights may be provided. A single hash function may be applied to each of the elements of the group of sets to produce consistent uniformly distributed non-negative random numbers. Transformed values corresponding to each of the elements may be produced by determining a w | 07-30-2009 |
| 20090192961 | ADAPTING MEDIA STORAGE BASED ON USER INTEREST AS DETERMINED BY BIOMETRIC FEEDBACK - The present invention discloses a system, method, apparatus, and computer usable product code adapting a media stream based upon biometric feedback. The system can include one or more biometric sensor, a media handling component, an importance inference engine, and a media processing component. The biometric sensor can be able to receive biometric feedback from at least one user. The media handling component can be a media creation component (e.g., video recorder, camera, etc.) and/or a media playback component (e.g., video player, music player, etc.). The importance inference engine can be configured to analyze biometric feedback received from the biometric sensor to determine an emotional interest level that a provider of the biometric feedback has in the media of the media handling component. The media processing component can modify the media of the media handling component based upon the emotion interest level determined by the importance inference engine. | 07-30-2009 |
| 20090192962 | INTELLIGENT THREAT ASSESSMENT MODULE, METHOD AND SYSTEM FOR SPACE SITUATIONAL AWARENESS SYSTEM - Threat assessment modules are disclosed that intelligently review evidence of potential threats posed by detected objects within a region of exo-atmospheric space and generate a most probable threat scenario to facilitate administration of counterspace operations. | 07-30-2009 |
| 20090192963 | SYSTEM AND METHOD FOR DYNAMICALLY INFERRING DATA PRECONDITIONS OVER PREDICATES BY TREE LEARNING - A system and method for inferring preconditions for procedures in a program includes formulating predicates based on inputs to a procedure, including formal arguments, global variables and external environment. Truth assignments are sampled to the predicates to provide truth assignments that lead to a feasible set of input values. Test cases are generated for testing the program in accordance with the truth assignments having feasible sets of input values. The truth assignments are classified to the predicates as providing an error or not providing an error. | 07-30-2009 |
| 20090192964 | SYSTEM AND METHOD FOR COMPARING SYSTEM FEATURES - Embodiments of the disclosed systems and methods establish quantitative and accurate relationships between system features and system objectives. In one embodiment, the systems and methods are particularly suitable to establish the predictive relationships between system fidelity and training objectives. These systems and methods can combine fidelity values defined by end-users, existing theory and research, or objective performance data from experiments. The predictive relationships defined through these methods can feed a model-based decision support tool that helps predict the impact of fidelity on training effectiveness. | 07-30-2009 |
| 20090192965 | MODEL-DRIVEN EVENT DETECTION, IMPLICATION, AND REPORTING SYSTEM - An event analysis system monitors information available from both publicly and privately distributed networks of information for events that are relevant to the user's particular business concerns. Those concerns are defined in a customized model of the user's organization and external business environment. The system receives the information, detects events in the information, interprets the events, and determines implications of these events. The detection and implication proceeds with regard to specific entities, relationships between entities, and definitions of the types of events which may occur in the environment in which the entities exist. Accordingly, the analysis system intelligently adapts its processing to recognize and report events which may be of interest for any particular entity. | 07-30-2009 |
| 20090192966 | COST-BENEFIT APPROACH TO AUTOMATICALLY COMPOSING ANSWERS TO QUESTIONS BY EXTRACTING INFORMATION FROM LARGE UNSTRUCTURED CORPORA - The present invention relates to a system and methodology to facilitate extraction of information from a large unstructured corpora such as from the World Wide Web and/or other unstructured sources. Information in the form of answers to questions can be automatically composed from such sources via probabilistic models and cost-benefit analyses to guide resource-intensive information-extraction procedures employed by a knowledge-based question answering system. The analyses can leverage predictions of the ultimate quality of answers generated by the system provided by Bayesian or other statistical models. Such predictions, when coupled with a utility model can provide the system with the ability to make decisions about the number of queries issued to a search engine (or engines), given the cost of queries and the expected value of query results in refining an ultimate answer. Given a preference model, information extraction actions can be taken with the highest expected utility. In this manner, the accuracy of answers to questions can be balanced with the cost of information extraction and analysis to compose the answers. | 07-30-2009 |
| 20090216698 | TEMPORAL EVENTS ANALYSIS EMPLOYING TREE INDUCTION - An events analysis method comprises: optimizing respective to a set of training data a set of branching transition likelihood parameters associating parent events of type k with child events of type k′ in branching processes; inferring a most probable branching process for a set of input data comprising events based on the optimized set of branching transition likelihood parameters; and identifying rare or unusual events of the set of input data based on the inferred most probable branching process. An events analysis apparatus includes a probabilistic branching process learning engine configured to optimize the set of branching transition likelihood parameters, and a probabilistic branching process inference engine configured to infer the most probable branching process. | 08-27-2009 |
| 20090216699 | APPARATUS AND METHOD FOR HIERARCHICAL DECOMPOSITION OF PLANNING, SCHEDULING, AND OTHER DECISION-MAKING PROBLEMS - A system includes a coordinator configured to generate a first offer representing a possible solution to a problem being solved. The coordinator is configured to generate the first offer using a first model. The system also includes multiple cooperators each configured to receive the first offer and to determine if a sub-problem associated with the problem can be solved based on the first offer and using a second model. Each cooperator is also configured to identify an infeasibility and communicate the infeasibility to the coordinator when the sub-problem cannot be solved based on the first offer. The coordinator is further configured to receive the infeasibility, generate a second offer by reducing a deviation between the first offer and a consensus of the cooperators, and provide the second offer to the cooperators. The consensus of the cooperators is based on a level of the first offer that each cooperator can achieve. | 08-27-2009 |
| 20090216700 | TEMPORAL EVENTS ANALYSIS EMPLOYING TREE INDUCTION - An events analysis method comprises: optimizing respective to a set of training data a set of branching transition likelihood parameters associating parent events of type k with child events of type k′ in branching processes; inferring a most probable branching process for a set of input data comprising events based on the optimized set of branching transition likelihood parameters; and identifying rare or unusual events of the set of input data based on the inferred most probable branching process. An events analysis apparatus includes a probabilistic branching process learning engine configured to optimize the set of branching transition likelihood parameters, and a probabilistic branching process inference engine configured to infer the most probable branching process. | 08-27-2009 |
| 20090222392 | DYMANIC INTERACTIVE ENTERTAINMENT - Disclosed are various embodiments of systems and methods for generating composite mediasets from mediasets, each comprising media items, associated with a plurality of users. In some embodiments, individual and/or group recommendations are provided for creating a group playlist by aggregating user taste data for a plurality of users in a group. In other embodiments, systems and methods are provided which allow for sharing and playing of a group playlist by users in a group, each of which has a media playback device. In still other embodiments, systems and methods are provided for dynamically building a composite playlist that may be updated as users enter and/or leave the group. One example of an interactive entertainment application also is described for use at a venue to entertain live guests with music selections that are dynamically influenced by the guests' individual tastes. | 09-03-2009 |
| 20090222393 | EFFICIENT DECISION PROCEDURE FOR BOUNDED INTEGER NON-LINEAR OPERATIONS USING SMT(LIA) - Systems and methods are disclosed for deciding a satisfiability problem with linear and non-linear operations by:
| 09-03-2009 |
| 20090228417 | Method and system for optimizing mixed integer programming solutions - Systems and methods for generating improved solutions to MIP models are described. The present invention involves the use of a polishing algorithm that uses mutation and combination of solutions within a solution pool to generate improved solutions. The polishing algorithm first randomly selects one or more seed solutions from a solution pool for mutation. The selected seed solutions are mutated by fixing a subset of integer variables in the models to the value they take in the seed solution. The remaining variables are then formulated into a sub-MIP problem that is solved by the MIP solver. The solutions generated from this mutation process may then be added to the solution pool. After the one or more iterations of the mutation processes have taken place, the polishing algorithm then selects one or more pluralities of parent solutions from the solution pool to use in generating offspring solutions. The integer variables that agree between one plurality of parent solutions are fixed in the offspring solution. The remaining variables are then formulated into a sub-MIP problem that is solved by the MIP solver. The offspring solutions generated by the combination process may then also be added to the solution pool. | 09-10-2009 |
| 20090234787 | Integrated problem solving system - A method for solving a problem is disclosed. The method may include receiving a problem description. The description of the problem may include a description of a host application module to be used for solving the problem. The method may further include training an embeddable logic library with baseline data and a known solution of the problem. The embeddable logic library may include a plurality of object components describing rules and procedures for processing data. The method may further include receiving input data associated with the problem, and processing the input data according to the problem description, using rules and procedures described by the object components in the embeddable logic library. The method may also include converting the processed data into a format required by the host application module, and providing the converted data to the host application module. | 09-17-2009 |
| 20090248601 | EXPLOITING DOUBLE RESOLUTIONS FOR PROOF OPTIMIZATIONS - A method for simplifying resolution proofs in DAG format where each leaf node represents a clause and each internal node represents a resolution between its children includes representing a SAT proof as a stripped proof, analyzing pivots to identify redundant resolutions, and constructing a simplified proof without the redundant resolutions. | 10-01-2009 |
| 20090248602 | SYSTEMS AND METHODS FOR PRIORITIZING CONTENT BASED ON USER PROFILE RELEVANCE - In an exemplary method, a request for content initiated by a user associated with a user profile is received, a plurality of content instances is identified as being related to the requested content based on a predefined relationship heuristic, wherein the content instances are associated with other user profiles, a relevance between the user profile and each of the other user profiles is determined based on a predefined relevance heuristic, and the content instances are prioritized based on the determined relevance. In certain embodiments, data representative of the prioritized content instances is displayed in accordance with the prioritization. | 10-01-2009 |
| 20090254503 | METHOD AND SYSTEM FOR AUTOMATED EXPERTISE EXTRACTION - A method and system for expertise extraction for an expert system, is provided. One implementation involves modeling active learning for interrogating an expert for knowledge as attributes of an n-dimensional hyper-cube where each attribute represents a possible output and every dimension represents a feature in a feature space; dividing the n-dimensional hyper-cube into m different attributes, each attribute representing a union of at most p cubes, wherein the n dimensions represent n boolean inputs and the m attributes represent m possible outputs; and discovering all possible outputs by querying a portion of the feature space for generating queries to an expert for all possible outputs, including obtaining at least one representative input for each of the m possible outputs, while using a limited number of queries to the hyper-cube. | 10-08-2009 |
| 20090254504 | ADAPTIVE INFORMATION TECHNOLOGY SOLUTION DESIGN AND DEPLOYMENT - A set of information technology solution alternatives is generated for an enterprise organization. The information technology solution alternatives are evaluated within an automated architectural framework based upon one or more information technology evaluation metrics. An automated incremental solution deployment strategy is created based upon the evaluated plurality of information technology solution alternatives. An information technology solution is selected from the set of information technology solution alternatives for deployment based upon the automated incremental solution deployment strategy. | 10-08-2009 |
| 20090254505 | RECONFIGURABLE HARDWARE ACCELERATOR FOR BOOLEAN SATISFIABILITY SOLVER - A hardware accelerator is provided for Boolean constraint propagation (BCP) using field-programmable gate arrays (FPGAs) for use in solving the Boolean satisfiability problem (SAT). An inference engine may perform implications. Block RAM (BRAM) may be used to store SAT instance information. Computation may be co-located with the BRAM memory, taking advantage of the high on-chip bandwidth and low latency of an FPGA. SAT instances may be partitioned into multiple groups that can be processed by multiple inference engines in parallel. New SAT instances can be inserted into FPGA without invoking the time-consuming FPGA re-synthesizing process. | 10-08-2009 |
| 20090259610 | VERIFICATION SUPPORT APPARATUS, VERIFICATION SUPPORT METHOD, AND COMPUTER PRODUCT - A verification support apparatus includes an identifying unit that, by using a pre-change specification and a post-change specification given before and after a specification change in a subject to be verified, identifies an area that has changed from among a plurality of specification items included in the post-change specification and a selecting unit that selects a specification item from among the areas identified by the identifying unit. The verification support apparatus further includes a searching unit that, by referring a transition graph concerning the specification items included in the post-change specification and by tracing specification items as origins of transitions from a starting point that is the specification item selected by the selecting unit, searches for a route made up of specification items affected by the specification change; and an output unit that outputs a search result of the searching unit. | 10-15-2009 |
| 20090265294 | Estimating Device and Method, and Program - An estimating device includes: a predictive computing unit configured to estimate, based on an evaluation matrix made up of an evaluation value indicating an evaluation as to each of multiple evaluation targets for each of multiple users, and an estimated expression for estimating the evaluation value by computation employing the evaluation matrix, the evaluation value of the evaluation target which has not been subjected to an evaluation by the user, and obtain a predictive evaluation value which is the estimated evaluation value; and a linear combining unit configured to subject a plurality of the predictive evaluations obtained by employing a plurality of the estimated expressions to linear combination by employing a linear combination coefficient, thereby obtaining a final estimation result of an evaluation as to the evaluation target which has not been subjected to the evaluation by the user. | 10-22-2009 |
| 20090265295 | APPARATUS AND METHOD FOR THE ANALYSIS OF A PROCESS HAVING PARAMETER-BASED FAULTS - An apparatus for the analysis of a process having parameter-based faults includes: a parameter value inputter configured for inputting values of at least one process parameter, a fault detector, configured for detecting the occurrence of a fault, a learning file creator associated with the parameter value inputter and the fault detector, configured for separating the input values into a first learning file and a second learning file, the first learning file comprising input values from a collection period preceding each of the detected faults, and the second learning file comprising input values input outside the collection periods, and a learning file analyzer associated with the learning file creator, configured for performing a separate statistical analysis of the first and second learning files, thereby to assess a process status. | 10-22-2009 |
| 20090271345 | Method and Apparatus for Declarative Data Warehouse Definition for Object-Relational Mapped Objects - A data warehouse is constructed using the relational mapping of a transactional database without reconstructing the data relationships of the transactional database. First, an application programmer analyzes an object model in order to describe facts and dimensions using the objects, attributes, and paths of the object model. Each of the dimensions has an identifier that correlates an item in the transactional database to a dimension record in the data warehouse. The fact and dimension descriptions are saved to a description file. Second, a Data Warehouse Engine (DWE) then access the description file and uses the object model, fact and dimension descriptions, and object-relational mapping to map transactional data to the data warehouse. | 10-29-2009 |
| 20090271346 | LIBRARY SYNCHRONIZATION BETWEEN DEFINITIONS AND INSTANCES - In an industrial control configuration, various instances can exist that are based upon a definition. A definition can be changed and thus it can be appropriate to alter related instances in accordance with the change. However, changing an instance can cause disruption in other actions even when the change is minor. Therefore, various standards can be used to determine if a change to an instance should be propagated automatically or at another time, such as after an operation. The determination can be based on artificial intelligence techniques, user preference, a defined rule set, user instruction, as well as other standards. | 10-29-2009 |
| 20090271347 | Methods and systems for monitoring bioactive agent use - Methods, computer program products, and systems are described that include accepting at least one indication of a bioactive agent use by an individual and/or assigning an artificial sensory experience to monitor at least one side effect of the bioactive agent on the individual. | 10-29-2009 |
| 20090287626 | MULTI-MODAL QUERY GENERATION - A multi-modal search system (and corresponding methodology) is provided. The system employs text, speech, touch and gesture input to establish a search query. Additionally, a subset of the modalities can be used to obtain search results based upon exact or approximate matches to a search result. For example, wildcards, which can either be triggered by the user or inferred by the system, can be employed in the search. | 11-19-2009 |
| 20090292662 | TIME-SERIES DATA ANALYZING APPARATUS, TIME-SERIES DATA ANALYZING METHOD, AND COMPUTER PROGRAM PRODUCT - Sets of integrated data including history data and time-invariant data grouped for each analysis target are classified based on an inclusion between an amount of change of a time-varying item included in sets of integrated data and a numerical range expressed by an event sequence and also based on a common time-invariant item, to generate a prediction model in which a prediction-target event sequence expressing an amount of change of the event item included in each set of integrated data after being classified and an amount of time required for reaching the amount of change is associated with the event sequence together with a classification condition related to the classification. | 11-26-2009 |
| 20090299935 | METHOD AND APPARATUS FOR DIGITAL FORENSICS - A method and apparatus for digital forensics are provided. The apparatus for digital forensics includes a page file extractor for extracting a page file stored in a target storage medium, a stored-page feature extractor for extracting features of pages stored in the extracted page file, a page classifier for comparing the extracted features of the pages with at least one predetermined classification criterion and classifying the pages according to the comparison results, and a digital forensics unit for performing digital forensics according to the classified pages. According to the method and apparatus, it is possible to perform digital forensics using only information of a page file. | 12-03-2009 |
| 20090299936 | POLICY CREATING APPARATUS, POLICY CREATING METHOD, AND COMPUTER PRODUCT - A policy integrity validating unit validates whether a system model can achieve an objective set up in a policy without violating a constraint set up in the policy when a system model is operated according to a procedure set up in the policy. When the policy integrity validating unit determines that there is no integrity between a policy created by a system administrator and the system model, an alternate policy creating unit creates an alternate policy that replaces the policy created by the system administrator. Upon receipt of the alternate policy, the policy integrity validating unit validates integrity between the alternate policy and the system model. When the policy integrity validating unit determines that there is integrity between the alternate policy and the system model, a policy creating apparatus presents the alternate policy to the system administrator. | 12-03-2009 |
| 20090307166 | METHOD AND SYSTEM FOR AUTOMATED INTEGRATED SERVER-NETWORK-STORAGE DISASTER RECOVERY PLANNING - An automated disaster recovery (DR) planning system for a computing environment is provided. A discovery module discovers servers, networks, and storage devices in a computing environment. An expert knowledge base module captures best practices in planning, and capabilities, interoperability, limitation and boundary values for different DR technologies. A match-making module determines multiple DR plans as combinations of one or more replication technologies that can be used to satisfy DR requirements. And, an optimizer configured for assessing a feasible DR plan from said multiple DR plans, to deploy for DR planning of a primary computing environment. | 12-10-2009 |
| 20090307167 | CLASSIFICATION USING SUPPORT VECTOR MACHINES AND VARIABLES SELECTION - A method of deriving a classifier for classifying items using a plurality of variables for characteristics of the items, the method comprising determining a representative subset of the variables for use in said classifier. | 12-10-2009 |
| 20090307168 | Systems and methods for photo-based content discovery and recommendation - Described are systems and methods for photo-based content discovery and recommendation. The methods and systems disclosed provide a photo-based website for allowing users to discover places, people and activity of similar likes and preferences. | 12-10-2009 |
| 20090307169 | Distributable Serializable Finite State Machine - A distributable and serializable finite state machine and methods for using the distributable and serializable finite state machine are provided wherein finite state machine instance can be location-shifted, time-shifted or location-shift and time-shifted, for example by serializing and deserializing each instance. Each instance can be located-shifted between agents, and a persistent memory storage location is provided to facilitate both location-shifting and time-shifting. Finite state machine instances and the actions that make up each instance can be run in a distributed fashion among a plurality of agents. | 12-10-2009 |
| 20090319457 | METHOD AND APPARATUS FOR STRUCTURAL DATA CLASSIFICATION - Techniques for classifying structural data with skewed distribution are disclosed. By way of example, a method classifying structural input data comprises a computer system performing the following steps. Multiple classifiers are constructed, wherein each classifier is constructed on a subset of training data, using one or more selected composite features from the subset of training data. A consensus among the multiple classifiers is computed in accordance with a voting scheme such that at least a portion of the structural input data is assigned to a particular class in accordance with the computed consensus. Such techniques for structured data classification are capable of handling skewed class distribution and partial feature coverage issues. | 12-24-2009 |
| 20090319458 | Compiler for Probabilistic Programs - A compiler for probabilistic programs is described. The inputs to the compiler are a definition of a model and a set of inference queries. The model definition is written as a probabilistic program which describes a system of interest. The compiler transforms statements in the probabilistic program to generate source code which performs the specified queries on the model. The source code may subsequently be compiled into a compiled algorithm and executed using data about the system. The execution of the compiled algorithm can be repeated with different data or parameter settings without requiring any recompiling of the algorithm. | 12-24-2009 |
| 20090319459 | Physically-animated Visual Display - A physically animated visual display is a robotic device, capable of multiple degree-of-freedom motion, that is adapted to improve a user's emotional state, cognitive performance, and comfort level through reactive and goal-directed manipulation of the position of the display. The affective-cognitive system comprises a feature extraction subsystem for deriving physical information about a user from data obtained from sensors, a perception subsystem for processing the data in order to determine the user's current emotional state, affective-cognitive state, or posture, an action selection subsystem for determining an action to be taken in response, and a motor system for physically animating the robotic device in accordance with the determined action. The system may include feedback modeling based on a reaction of the user to the movement of the apparatus increasing or decreasing the probability of choosing the current behavior based on the user's reaction. | 12-24-2009 |
| 20090327184 | USER SUPPORT DEVICE, METHOD, AND PROGRAM - A user support device which accurately judges that a user is in a confused state and supports the user is provided. The user support device includes: a confused state judging unit ( | 12-31-2009 |
| 20090327185 | SYSTEMS FOR STRUCTURAL CLUSTERING OF TIME SEQUENCES - Arrangements are provided for performing structural clustering between different time series. Time series data relating to a plurality of time series is accepted, structural features relating to the time series data are ascertained, and at least one distance between different time series via employing the structural features is determined. The different time series may be partitioned into clusters based on the at least one distance, and/or the k closest matches to a given time series query based on the at least one distance may be returned. | 12-31-2009 |
| 20090327186 | SYSTEM AND METHOD FOR SELECTING CANDIDATES FROM A FAMILY OF CANDIDATES - A technique facilitates selection of underground substance storage sites. Criteria are established to enable evaluation of a plurality of underground storage sites for storing a given substance. Optimal goals or targets are determined, and the potentially numerous and varied criteria are assessed against those optimal goals. A predetermined rational method is used to process and evaluate the criteria in a manner that ultimately enables selection of a desirable storage site. | 12-31-2009 |
| 20090327187 | CONNECTIVITY IN A PEER NETWORK - Improving connectivity in a peer-to-peer (P2P) network involves packet forwarding by infrastructure or peers. A system can achieve full connectivity and a setup for transactions that takes a fraction of a second. The system can include a routing table that is initially configured so that packets to peers are routed via the infrastructure. NAT traversal heuristics can be employed to establish direct connections between peers in parallel with packet forwarding in accordance with the routing table. When a direct connection is ready, the routing table can be updated so that packets are sent P2P. If a direct connection cannot be made, the routing table can be updated so that the packets are sent through a peer intermediary without going through the infrastructure. | 12-31-2009 |
| 20090327188 | Resonator - At least one resonator is disclosed having a plurality of nanoscale resonator elements, the at least one resonator having at least two, different resonant frequencies and configured to provide at least two signals in response to an input signal and at least two adders configured to weight the signals with respective weights and to add weighted signals so as to produce an output signal. | 12-31-2009 |
| 20090327189 | DYNAMIC ONTOLOGY-DRIVEN TEMPLATE SELECTION - One aspect of the present invention includes dynamically selecting templates through the use of an ontology. In one embodiment, an ontology is defined to structure information system content, and an ontology classification is then assigned when content is provided to the information system. Based on this classification, the most appropriate template classified in the ontology is applied to the content. If a template exists at the content item's ontology level, this template is applied to the content. If no template exists, then the ontology tree is navigated upward to locate a template at the nearest ancestor ontology level. If a template was found by navigating the ontology tree, then this template is applied to the content item. | 12-31-2009 |
| 20090327190 | Agent, method and computer system for negotiating in a virtual environment - A multi-agent system is described that uses software agents to represent objects in a chosen real world environment. Each agent has structure having certain characteristics where a relation with other agents can be established if the other agents have characteristics that are suitable to the requesting agent. The multi-agent system is able to perform dynamic negotiations autonomously between agents so as to establish relations when a new event enters the system or to offer compensation to modify existing relations and to self-organise to optimise the overall value of the system. | 12-31-2009 |
| 20090327191 | Magnetic screening system network - A magnetic screening system uses directional gradiometers with high resolution and accuracy to measure magnetic field signatures of target objects (e.g., gun, knife, cell phone, keys) in a volume of interest. The measured signatures can be compared to signatures of known objects stored in a local database. Various mathematical processes may be used to identify or classify target object signatures. In a network of magnetic screening systems, the magnetic screening systems can transmit signatures to a central signature database, and a management computer can share the central signature database with all of the magnetic screening systems on the network. The magnetic screening system can operate in multiple modes, such as a tracking mode, measurement mode, calibration mode, and self-test mode. Calibration may be performed in a substantially continuous manner to allow calibration parameters to be adjusted during system operation (e.g., tracking mode) to compensate for changes in conditions that may impact calibration parameters. Through use of unique processes and designs, the magnetic screening system can achieve a high rate of processing persons for target objects. | 12-31-2009 |
| 20100005046 | METHOD AND APPARATUS FOR PREDICTING VALUE OF CACHING CONTENT ITEMS - The invention includes a method and apparatus for predicting value of caching content items. In one embodiment, a method for selecting ones of a plurality of content items to be cached includes, for each of the content items, determining a probability of use of the content item comprising a probability that the content item will be used if cached, determining a value of caching the content item, and computing a caching value estimate associated with the content item using the probability of use of the content item and the value of caching the content item. The content items to be cached may then be selected using the respective caching value estimates of the content items. | 01-07-2010 |
| 20100005047 | Methods, Systems, and Software for Identifying Functional Bio-Molecules - The present invention generally relates to methods of rapidly and efficiently searching biologically-related data space. More specifically, the invention includes methods of identifying bio-molecules with desired properties, or which are most suitable for acquiring such properties, from complex bio-molecule libraries or sets of such libraries. The invention also provides methods of modeling sequence-activity relationships. As many of the methods are computer-implemented, the invention additionally provides digital systems and software for performing these methods. | 01-07-2010 |
| 20100010950 | DETERMINING COMPLIANCE RATES FOR PROBABILISTIC REQUESTS - Systems and methods for solving a constraint satisfaction problem (CSP) defined by one or more variables, constraints and probabilistic requests (PRs) are provided. In one embodiment, each PR is mapped onto a set of constraints that implement the PR. The CSP solver then finds a series of solutions to the CSP. For each solution, if a constraint associated with a PR is satisfied, then a success counter for that PR is incremented; else a failure counter for that PR is incremented. If the constraint was not considered for the purpose of solving the CSP, then the failure counter for the PR associated with the constraint is incremented. | 01-14-2010 |
| 20100017352 | ENHANCING PERFORMANCE OF A CONSTRAINT SOLVER ACROSS INDIVIDUAL PROCESSES - One embodiment of the present invention provides a system that reuses information associated with a constraint solving operation for a problem domain. This system begins by receiving a constraint problem from the problem domain. Then, the system searches through a problem cache for an entry which corresponds to the canonical representation. If a corresponding entry does not exist in the problem cache, the system produces an entry in the problem cache for the canonical representation. Otherwise, if a corresponding entry already exists in the problem cache, the system generates a solution to the canonical representation by reusing the solver heuristic associated with the corresponding entry in the problem cache. | 01-21-2010 |
| 20100017353 | METHODS AND SYSTEMS FOR DATA ANALYSIS AND FEATURE RECOGNITION - Systems and methods for automated pattern recognition and object detection. The method can be rapidly developed and improved using a minimal number of algorithms for the data content to fully discriminate details in the data, while reducing the need for human analysis. The system includes a data analysis system that recognizes patterns and detects objects in data without requiring adaptation of the system to a particular application, environment, or data content. The system evaluates the data in its native form independent of the form of presentation or the form of the post-processed data. | 01-21-2010 |
| 20100023469 | OBJECTIVE DECISION MAKING APPLICATION USING BIAS WEIGHTING FACTORS - A method and system for implementing a weighted belief network that assists collaborative users in making decisions. A belief network structure is employed that further includes user controlled weighting and biasing factors to adjust the probabilities for the various nodes. The various participants have the opportunity to make adjustments to the weighting and credibility of the evidence and participants in the decision making process in order to arrive at what may be perceived as a more objective outcome. As the collaborative environment is established and the belief network is built, each user can apply various weighting and bias scenarios from their own perspective thereby allowing each discrete user to work out their various suspicions regarding the bias of other participants or the actual weight of a discrete piece of supporting evidence in the context of the entire belief network. | 01-28-2010 |
| 20100030717 | FRAMEWORK TO EVALUATE CONTENT DISPLAY POLICIES - Content display policies are evaluated using two kinds of methods. In the first kind of method, using information, collected in a “controlled” manner about user characteristics and content characteristics, truth models are generated. A simulator replays users' visits to the portal web page and simulates their interactions with content items on the page based on the truth models. Various metrics are used to compare different content item-selecting algorithms. In the second kind of method, no explicit truth models are built. Events from the controlled serving scheme are replayed in part or whole; content item-selection algorithms learn using the observed user activities. Metrics that measure the overall predictive error are used to compare different content-item selection algorithms. The data collected in a controlled fashion plays a key role in both the methods. | 02-04-2010 |
| 20100036786 | REAL-TIME AD-HOC SPAM FILTERING OF EMAIL - Embodiments are directed towards employing a multi-pass ad-hoc spam message filtering approach that dynamically generates a temporary classifier during a first pass based on a result of a previously applied message filter that sorts messages into various folders for a user. The first pass scans messages in a user's mail folders, and reads various information within the messages, including, but not limited to sender information, headers, including a subject, an originating network address, message contents, attachments, and the like. After creating a classification model, the classifier with its model is used in a second pass on the message folders to retrospectively inspect the messages and present to the user a list of messages that might be misclassified. The classification model is maintained within memory on a user's client device, as memory resident only, and is not stored on disk or within another persistent data store. | 02-11-2010 |
| 20100036787 | Dynamic Constraint Satisfaction Problem Solver That Recreates Structure Across Sessions - A dynamic constraint solver for solving a constraint satisfaction problem model receives a request for a current solving session to recreate a first solving session for the model. The solver then collects a deferred port list comprising one or more ports in the model that need a sub-problem and creates one or more runtime constraints for the model. For each of the created runtime constraints, the solver propagates the constraint and determines if the propagation generates a conflict. If the propagation generates a conflict, the solver dismisses the constraint and reverts the model to a state before the constraint was propagated. | 02-11-2010 |
| 20100042570 | Messaging Application with Multiple Viewports for Presenting Messages in Different Orders - In a method for displaying messages, a system displays messages from a single user account in multiple viewports. Each viewport orders messages based on an importance score that is calculated based on the user's prior interactions with messages in his user account through that viewport. Each viewport associated with the user account orders messages using a distinct message importance model. | 02-18-2010 |
| 20100042571 | Methods, Systems, and Computer-Readable Media for Facility Integrity Testing - Methods, systems, and computer-readable media provide for facility integrity testing. According to embodiments, a method for populating a watch list with circuits of a communications network to be monitored for repeat failures is provided. According to the method, a trouble ticket associated with one of the circuits and a trouble code and analysis code (TC/AC) combination associated with the trouble ticket is retrieved. Whether the trouble ticket meets a watch list criterion is determined. In response to determining that the trouble ticket meets the watch list criterion, the trouble ticket and the TC/AC combination are added to the watch list. | 02-18-2010 |
| 20100049682 | INFERENCE DETECTION ENABLED BY INTERNET ADVERTISING - One embodiment of the present invention provides a system that performs inference detection based on Internet advertisements. In doing so, this system first receives a set of topic words, performs a search query on each topic word using a search engine, and gathers a set of Uniform Resource Locators (URLs) associated with sponsored advertisement from the search results corresponding to each search query. Then, the system determines a correlation between two topic words based on their corresponding URLs associated with sponsored advertisement, and produces a result which indicates groups of correlated topic words. | 02-25-2010 |
| 20100049683 | COLLABORATIVE DEBATING TECHNIQUES - Techniques for collaborative debating are provided. Pieces of content are associated with particular identities and submitted to virtual communities. The content and the identities then receive metrics as: comments, attributions, and/or reputation ratings from various members of the virtual communities. The metrics are collected in a repository and subsequently summarized for requesters to assist in analyzing the credibility of the identities and/or the value that particular pieces content add to a particular debate within a particular virtual community. | 02-25-2010 |
| 20100049684 | METHODS AND SYSTEMS FOR KNOWLEDGE DISCOVERY - Provided are methods and systems for knowledge discovery utilizing knowledge profiles. | 02-25-2010 |
| 20100049685 | Pattern Discovery Techniques for Determining Maximal Irredundant and Redundant Motifs - Basis motifs are determined from an input sequence through an iterative technique that begins by creating small solid motifs and continues to create larger motifs that include “don't care” characters and that can include flexible portions. The small solid motifs, including don't care characters and flexible portions, are concatenated to create larger motifs. During each iteration, motifs are trimmed to remove redundant motifs and other motifs that do not meet certain criteria. The process is continued until no new motifs are determined. At this point, the basis set of motifs has been determined. The basis motifs are used to construct redundant motifs. The redundant motifs are formed by determining a number of sets for selected basis motifs. From these sets, unique intersection sets are determined. The redundant motifs are determined from the unique intersection sets and the basis motifs. This process continues, by selecting additional basis motifs, until all basis motifs have been selected. | 02-25-2010 |
| 20100057656 | DEVICE, SYSTEM, AND METHOD OF DETERMINING A SOLUTION SCHEME OF A POLY-ALGORITHM SOLVER - Device, system, and method of determining a solution scheme of a poly-algorithm solver. Some embodiments include a method of determining a solution scheme to be applied to input data by a poly-algorithm solver including a plurality of algorithms, the method including receiving a calling sequence including input values of a predefined set of parameters corresponding to the input data; based on the input values, choosing one of first and second algorithm selection models for selecting one or more of the algorithms to be applied to the input data by the solver. Other embodiments are described and claimed. | 03-04-2010 |
| 20100057657 | INTELLIGENT PROBLEM TRACKING ELECTRONIC SYSTEM FOR OPTIMIZING TECHNICAL SUPPORT - Embodiments of the present invention address deficiencies of the art in respect to technical support management and provide a novel and non-obvious method, system and computer program product for intelligent problem tracking to optimize technical support. In an embodiment of the invention, a method for intelligent problem tracking can include receiving recorded information of tracked end user behavior collected in an end user computing system while the end user addresses a problem in the end user computing system, determining a level of technical sophistication of the user based upon the recorded information, selecting a technical support level corresponding to the determined level of technical sophistication of the user, and transmitting a resolution to the problem in a message to the end user computing system commensurate with the selected technical support level. | 03-04-2010 |
| 20100057658 | REAL-TIME LIFESTYLE RECOMMENDATION SYSTEM - A method of providing a recommendation is provided. The method includes receiving user provided information at a first device from a second device. The user provided information includes user preference information and a user account authorization. User account information is requested from the first device based on the user account authorization. The requested user account information is received from a third device at the first device. The received user provided information and the received user account information is stored at a device accessible by the first device. A request for a recommendation is received from the second device. The recommendation is determined based on the stored user provided information and the stored user account information. The determined recommendation is sent from the first device to the second device. | 03-04-2010 |
| 20100057659 | Determining a Target Career Path and Tasks to Achieve Same - A career navigation system provides an automated way to counsel and/or coach a user on professional networking as it affects career development and/or career advancement. The career navigation system helps people both identify a path to their desired career destination and follow that path by means of various career management and network management tools and action items. A user is associated with a role model, such as a real-life person who has achieved the user's goal job. The role model's career path is customized to generate a roadmap for the user to follow in order to achieve his goal. Action items are generated and scheduled based on the roadmap, and the user is prompted to complete the items and track his progress. | 03-04-2010 |
| 20100070446 | SYSTEM AND METHOD FOR REPRESENTING INCONSISTENTLY FORMATTED DATA SETS - Two or more data sets, arranged in mutually inconsistent formats, are stored in a computer. Software is applied to each data set to discover and generate a topology for a respective Bayesian Belief Network for each of the data sets. The resulting individual constituent Bayesian Belief Networks are combined to produce a combined Bayesian Belief Network. The combined Bayesian Belief Network represents a virtual data set that does not exist but which stands in for a combination of the original data sets. The combined Bayesian Belief Network is a convenient representation that may be analyzed to investigate causality relationships among all of the variables in the constituent data sets. | 03-18-2010 |
| 20100076917 | System and method for predicting rare events - Systems and methods are provided for predicting rare events, such as hospitalization events. Predictor sequences may be generated by example systems and methods. Further, the fitness of those sequences may be measured. Sequences may be refined and/or combined with other sequences to produce better sequences. Related sequences may have their relationship identified and associated with the respective sequences. Finally, the sequences may be used to create a predictive model designed to determine, based on a sequence of events related to a person, if a hospitalization event is likely to occur in a given timeframe. Other models may be constructed and used to predict other rare events, based on related event sequences. | 03-25-2010 |
| 20100082513 | System and Method for Distributed Denial of Service Identification and Prevention - Systems and methods for discovery and classification of denial of service attacks in a distributed computing system may employ local agents on nodes thereof to detect resource-related events. An information later agent may determine if events indicate attacks, perform clustering analysis to determine if they represent known or unknown attack patterns, classify the attacks, and initiate appropriate responses to prevent and/or mitigate the attack, including sending warnings and/or modifying resource pool(s). The information layer agent may consult a knowledge base comprising information associated with known attack patterns, including state-action mappings. An attack tree model and an overlay network (over which detection and/or response messages may be sent) may be constructed for the distributed system. They may be dynamically modified in response to changes in system configuration, state, and/or workload. Reinforcement learning may be applied to the tuning of attack detection and classification techniques and to the identification of appropriate responses. | 04-01-2010 |
| 20100082514 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND PROGRAM - Necessary display count information about a count that predetermined content data should be displayed in a predetermined display device in a displayable period is acquired, display result count information about the display result count that the predetermined content data is displayed between a start of the displayable period and a present time is acquired, the display estimated count that the predetermined content data should be displayed in any period of the displayable period from the present time is decided based on the displayable period, the necessary display count information, and the display result count information, display time zone information about time zones in which the predetermined content data can be displayed in the predetermined display device is acquired, and a display start time at which the content data is displayed in the predetermined display device is decided based on the display estimated count and the display time zone information. | 04-01-2010 |
| 20100088264 | SYSTEMS AND METHODS FOR TREATING DIAGNOSING AND PREDICTING THE OCCURRENCE OF A MEDICAL CONDITION - Methods and systems are provided that use clinical information, molecular information and computer-generated morphometric information in a predictive model for predicting the occurrence (e.g., recurrence) of a medical condition, for example, cancer. In an embodiment, a model that predicts prostate cancer recurrence is provided, where the model is based on features including one or more (e.g., all) of biopsy Gleason score, seminal vesicle invasion, extracapsular extension, preoperative PSA, dominant prostatectomy Gleason grade, the relative area of AR+ epithelial nuclei, a morphometric measurement of epithelial nuclei, and a morphometric measurement of epithelial cytoplasm. In another embodiment, a model that predicts clinical failure post-prostatectomy is provided, wherein the model is based on features including one or more (e.g., all) of dominant prostatectomy Gleason grade, lymph node invasion status, one or more morphometric measurements of lumen, a morphometric measurement of cytoplasm, and average intensity of AR in AR+/AMACR− epithelial nuclei. | 04-08-2010 |
| 20100088265 | METHOD, SYSTEM, AND APPARATUS FOR DETERMINING A PREDICTED RATING - Embodiments of the invention can incorporate a method and interface to accomplish one or more of the following three processes: input, analysis, and output. With respect to input, the user(s) identifier(s), item(s) identifier(s), and user(s)-item(s) rating data | 04-08-2010 |
| 20100094791 | Fraud Detection and Analysis - Systems and methods generate a risk score for an account event. The systems and methods automatically generate a causal model corresponding to a user, wherein the model estimates components of the causal model using event parameters of a previous event undertaken by the user in an account of the user. The systems and methods predict expected behavior of the user during a next event in the account using the causal model. Predicting the expected behavior of the user includes generating expected event parameters of the next event. The systems and methods use a predictive fraud model to generate fraud event parameters. Generation of the fraud event parameters assumes a fraudster is conducting the next event, wherein the fraudster is any person other than the user. The systems and methods generate a risk score of the next event to indicate the relative likelihood the future event is performed by the user. | 04-15-2010 |
| 20100094792 | ASSOCIATIVE RELEVANCY KNOWLEDGE PROFILING ARCHITECTURE, SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT - Provided are architectures, system, methods, and computer program products that provide a user with the ability to define an association of data and/or information from known reference sets perceived by the user as relevant to a subject matter domain, thereby imparting and formalizing some of the user's knowledge about the domain. An associative relevancy knowledge profiler may also allow a user to create a profile by modifying or restricting the known reference sets and windowing the results from the association as a user might refine any other analysis algorithms. An associative relevancy knowledge profiler may also be used to define a user profile used by the user and others. A user profile may be usable in various manners depending upon, for example, rights management permissions and restrictions for a user. | 04-15-2010 |
| 20100100515 | TEXT EDIT TRACKER - A method for monitoring edits to a template for responding to an incoming communication includes categorizing the incoming communication into a category associated with the template for a response to the incoming communication. The method also includes determining distances between the template and each of a set of responses based on the template, at a predetermined level of granularity. The method also includes coding the template in accordance with the determined distances and displaying the coded template. A method for extracting a new template based on responses to an existing template includes selecting factors that affect quantitative measures for preparing a response to the incoming communication. The method includes using a mathematical model of the factors to cluster a set of responses created based on the existing template into two clusters. The method further includes restricting a first cluster centroid to be the existing template and searching for a second cluster centroid for a second cluster. | 04-22-2010 |
| 20100100516 | Predicting User-Item Ratings - A method of predicting user-item ratings includes providing a first matrix of hidden variables associated with individual items, a second matrix of hidden variables associated with individual users, a third matrix of predicted user-item ratings derived from an inner product of vectors in the first and second matrices, and a fourth matrix of actual user-item ratings. The first and second matrices are alternately fixed and solved with a weighted-λ regularization of at least one of the first and second matrices by minimizing a sum of squared errors between actual user-item ratings in the fourth matrix and corresponding predicted user-item ratings in the third matrix repeatedly until a stopping criterion is satisfied. | 04-22-2010 |
| 20100100517 | FUTURE DATA EVENT PREDICTION USING A GENERATIVE MODEL - The prediction of future data events using a generative model is disclosed. One disclosed embodiment comprises a method of predicting a search engine switch, by first tracking a sequence of events in a user search. Next, a search engine switch based upon the sequence of events tracked is predicted. Then, in response to predicting a search engine switch and prior to the user requesting a search engine switch, an action is taken toward changing a user experience. | 04-22-2010 |
| 20100106670 | CONSTRAINT BASED SYSTEM WITH DYNAMIC CONSISTENCY CHECKING - A constraint based system solves a network that includes a first variable node having a first integer domain, a second variable node having a second integer domain, and a constraint for the first variable node and the second variable node. The system retrieves a first integer domain representation of the first integer domain and a second integer domain representation of the second integer domain and determines from the first and second integer domain representations if the first integer domain or second integer domain has at least one excluded value. The system then determines a type of constraint consistency checking based on whether the integer domains have at least one excluded value. | 04-29-2010 |
| 20100106671 | Comprehensive Human Computation Framework - Technologies for a human computation framework suitable for answering common sense questions that are difficult for computers to answer but easy for humans to answer. The technologies support solving general common sense problems without a priori knowledge of the problems; support for determining whether an answer is from a bot or human so as to screen out spurious answers from bots; support for distilling answers collected from human users to ensure high quality solutions to the questions asked; and support for preventing malicious elements in or out of the system from attacking other system elements or contaminating the solutions produced by the system, and preventing users from being compensated without contributing answers. | 04-29-2010 |
| 20100114808 | system and method for controlling an autonomous worksite - A control system is disclosed for providing a control decision to an autonomous worksite. The control system may include a communication interface configured to collect information related to an index of the autonomous worksite. The control system may also include a storage device configured to store the collected information and a plurality of constraint models. Each constraint model may characterize the mathematical relationship between the index and at least one control variable. The control system may further include a processor coupled to the communication interface and the storage device. The processor may be configured to build an optimization model for optimizing the index, based on the plurality of constraint models and the collected information. The processor may be further configured to determine the at least one control variable associated with the autonomous worksite by solving the optimization model. The processor may also be configured to make a control decision based on the determined control variable, and provide the control decision to the autonomous worksite. | 05-06-2010 |
| 20100121801 | ENHANCED MATCHING THROUGH EXPLORE/EXPLOIT SCHEMES - Content items are selected to be displayed on a portal page in such a way as to maximize a performance metric such as click-through rate. Problems relating to content selection are addressed, such as changing content pool, variable performance metric, and delay in receiving feedback on an item once the item has been displayed to a user. An adaptation of priority-based schemes for the multi-armed bandit problem are used to project future trends of data. The adaptation introduces experiments concerning a future time period into the calculation, which increases the set of data on which to solve the multi-armed bandit problem. Also, a Bayesian explore/exploit method is formulated as an optimization problem that addresses all of the issues of content item selection for a portal page. This optimization problem is modified by Lagrange relaxation and normal approximation, which allow computation of the optimization problem in real time. | 05-13-2010 |
| 20100121802 | MANAGEMENT OF SUB-PROBLEMS IN A DYNAMIC CONSTRAINT SATISFACTION PROBLEM SOLVER - A solver solves a dynamic constraint satisfaction problem that is modeled as a constraint network of variables and constraints. The solver generates a dynamic sub-problem facility that includes one or more sub-problem pools that each comprises a sub-problem type, one or more sub-problems for the sub-problem type, and one or more clients for the sub-problem type. The solver generates a sub-problem set domain that comprises zero or more included sub-problems and zero or more excluded sub-problems. The solver synchronizes the sub-problem set domain with the dynamic sub-problem facility. | 05-13-2010 |
| 20100121803 | Predictive ephemeral Points-of-interest (PEPOI) - Predicted ephemeral Points of Interest (PEPOI) are provided to wireless application users, as are likelihood maps. Wireless application users are provided with the ability to record locations and retrieve maps of past locations and predicted future locations of PEPOIs of specific interest. To predict a location for a PEPOI, data about previous reported locations are gathered, along with variable values associated with variations in location. The variables gathered may differ based on the type of PEPOI in question. For instance, a person has different variables associated with its locations than does a storm cloud. Once there is enough data recorded to provide predictable patterns, desirable methods of statistical analysis are chosen depending of the behavior model of PEPOI, which can be used to present a visual guide to finding the PEPOIs at a particular time in the future. | 05-13-2010 |
| 20100121804 | PERSONALITY-SENSITIVE EMOTION REPRESENTATION SYSTEM AND METHOD THEREOF - A personality-sensitive emotion representation system and method thereof are provided. The personality-sensitive emotion representation system comprises a behavior database, a behavior selection module and a behavior modification module. The behavior selection module selects a set of behavior parameters from the behavior database according to an emotion parameter which represents an input emotion. The behavior modification module modifies the set of behavior parameters according to the personality parameter so as to output a set of personality-sensitive behavior parameters. | 05-13-2010 |
| 20100131442 | INTELLIGENT MONITORING SYSTEM - An intelligent monitoring system aims to perform object surveillance and tracking, and can quickly build accurate and reliable background data in a complex image condition to achieve desired monitoring result. Based on a dynamic background and a temporary static object and user's requirements, monitoring objects in a background module can be added or deleted to match the actual background information. The whole background data can be tracked according to characteristics of a targeted object set by users, and post-processing can be done for the tracked object, such as zooming, identifying, capturing, surveillance of behaviors, and the like. Thus whether a special attention is needed for a dynamic or static object can be notified. And an alert can be issued to relevant people for timely handling. | 05-27-2010 |
| 20100131443 | Providing Digital Content Based On Expected User Behavior - In a computing system, information regarding a plurality of events that use a computing device is obtained, and a time-dependant increase in activity for each of at least some of the events is identified. An observed interest by a user in an event is correlated with an identified increase in activity for the event. Information about the activity at a time related to the event is provided for review by the user. | 05-27-2010 |
| 20100131444 | COMBINING MULTIPLE OBJECTIVE FUNCTIONS IN ALGORITHMIC PROBLEM SOLVING - Combining multiple objective functions to perform algorithmic problem solving is described. A first algorithm performs processing on a complex problem and generates multiple solutions to the problem. One or more solutions as generated by the first algorithm are send to one or more additional algorithms for further processing of complex sub-problems bounded by the first algorithm. The solutions to the first algorithm are used as input to the additional algorithms, where those solutions include at least one boundary condition under which the additional algorithms process the sub-problems. Ultimate solutions satisfy boundary conditions of the first algorithm, and all conditions of the additional algorithms. Algorithms may be executed in combinations of parallel and/or sequential operation to generate a final solution considering multiple different sub-problems to the complex problem. | 05-27-2010 |
| 20100131445 | METHOD OF DATA TRANSMISSION WITH DIFFERENTIAL DATA FUSION - A data processing method for communication for a network having a plurality of nodes and a data collection device is provided. First, one of the nodes is selected according to a schedule for overhearing a reference data transmitted by a reference node to the data collection device. Then, a predicted data is calculated by the selected node according to the reference data and a corresponding prediction module. Next, the predicted data is compared with an actual data captured by the selected node, and an error between the predicted data and the actual data is transmitted to the data collection device. The selected node needs not to transmit any data to the data collection device if there is no error between the predicted data and the actual data. Thereby, the quantity of data to be transmitted is greatly reduced, and accordingly problems caused by insufficient bandwidth of the network are avoided. | 05-27-2010 |
| 20100131446 | Action execution based on user modified hypothesis - A computationally implemented method includes, but is not limited to: presenting to a user a hypothesis identifying at least a relationship between a first event type and a second event type; receiving from the user one or more modifications to modify the hypothesis; and executing one or more actions based, at least in part, on a modified hypothesis resulting, at least in part, from the reception of the one or more modifications. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
| 20100138373 | Maximizing Diversity in a Subset of Elements Utilizing GRASP With Path Relinking - Methods, systems, and computer-readable media for maximizing diversity in a subset of elements selected from a set of elements are provided. An algorithm that combines the GRASP and path relinking heuristics is utilized to find an approximate solution to a max-min diversity problem modeled from the set of elements. The GRASP heuristic is applied to the set of elements for a number of iterations to generate a set of feasible solutions, and a best solution is determined from the set. The path relinking heuristic is then applied between a pair of solutions in the set of feasible solutions to generate a candidate solution. If the candidate solution is better than the best solution, then the best solution is replaced with the candidate solution, and the process is repeated until the path relinking heuristic has been applied between each pair of solutions in the set of feasible solutions. | 06-03-2010 |
| 20100153325 | E-Mail Handling System and Method - A message processing system and method that recommends actions for incoming messages based upon past historical email behavior information. The historical email behavior information represents a user's behavior for a plurality of past messages and an action is recommended based on a comparison of the incoming messages to the historical email behavior information. | 06-17-2010 |
| 20100161534 | PREDICTIVE GAUSSIAN PROCESS CLASSIFICATION WITH REDUCED COMPLEXITY - A computer-implemented method of generating a model of a sparse GP classifier includes performing basis vector selection and adding a thus-selected basis vector to a basis vector set, including performing a margin-based method that accounts for predictive mean and variance associated with all the candidate basis vectors at that iteration. Hyperparameter optimization is performed. The basis vector selection step and hyperparameter optimization step are such that the steps are alternately performed until a specified termination criteria is met. The selected basis vectors and optimized hyperparameters are stored in at least one tangible computer readable medium organized in a manner to be usable as the model of the sparse GP classifier. | 06-24-2010 |
| 20100161535 | METHOD AND APPARATUS FOR INFERRING THE PRESENCE OF STATIC INTERNET PROTOCOL ADDRESS ALLOCATIONS - A method and apparatus for inferring if an IP address allocation in a remote network is static or dynamic are disclosed. For example, the method contacts at least one remote peer to peer endpoint using a peer to peer application to obtain an IP address of the at least one remote peer to peer endpoint. The method then analyzes characteristics of the at least one remote peer to peer endpoint over a predefined period of time to infer whether the presence of static IP address allocation exists for the at least one remote peer to peer endpoint. | 06-24-2010 |
| 20100161536 | PATTERN MATCHING - A method and apparatus to perform pattern matching is provided. The apparatus includes a first storage to store data representing a first set of pattern components, and a second storage to store data representing a second set of pattern components each corresponding to one or more components of the first set of pattern components. A first pattern matcher is configured to detect in an input stream a first component of one or more patterns and to generate a signal indicative of the detection of the first component. A second pattern matcher is configured to receive the signal from the first pattern matcher and to detect if a second component of the one or more patterns of the set of patterns immediately follows the first component in the input stream. | 06-24-2010 |
| 20100161537 | System and Method for Detecting Email Spammers - A system and method for detecting Email spammers from unknown SMTP Clients using the unknown SMTP Client's SMTP traffic information e.g. byte size and variability data. The system and method includes a byte size and variability traffic flow model and a classification system. The traffic flow model may be based upon a standard deviation of byte size and variability of traffic flows for a plurality of legitimate SMTP Clients and for a plurality of Spammer SMTP Clients. The classification system then classifies an Unknown SMTP Client as an Email Spammer based on a comparison between the byte size and the variability of the Unknown SMTP Client's traffic flows with the byte size and variability traffic flow model. | 06-24-2010 |
| 20100169257 | TRANSPARENT PARALLELISM AMONG LINEAR SOLVERS - A model, which defines a mathematical problem, and multiple directives may be received. Each of the multiple directives may be mapped to a respective linear solver instance. The linear solver instances may be launched to execute in parallel. Each of the linear solver instances may use either a primal or a dual algorithm and may further use double arithmetic, exact arithmetic, or hybrid arithmetic, as specified by corresponding ones of the multiple directives. A linear solver instance that uses hybrid arithmetic may start by using double arithmetic and may use exact arithmetic after experiencing a numerical difficulty. After the numerical difficulty is resolved, the linear solver instance that uses hybrid arithmetic may restart and continue to solve the mathematical problem using double arithmetic. After one of the linear solver instances finds an optimal solution, others of the linear solver instances may be stopped and a report may be provided. | 07-01-2010 |
| 20100169258 | Scalable Parallel User Clustering in Discrete Time Window - Described is an internet user clustering technology, such as useful in behavioral targeting, in which users are clustered together based on MinHash computations that produce signatures corresponding to users' internet-related activities. In one aspect, users are clustered together based on commonality of signatures between each set of signatures associated with each user. The signature sets and/or clusters may be associated with timestamps, whereby clusters may be determined for a given discrete time window or set of discrete time windows. To facilitate efficient processing, existing, prior signature sets of a user may be incrementally updated (e.g., daily), and/or the MinHash computations for users are partitioned among parallel computing machines. The timestamps may be used to selectively determine a cluster within a continuous time, a time window or set of time windows. | 07-01-2010 |
| 20100169259 | Methods and systems for presenting an inhalation experience - Methods, computer program products, and systems are described that include accepting an indication of an individual's compliance with an artificial sensory experience and presenting an indication of an inhalation device-dispensed bioactive agent at least partially based on the indication of the individual's compliance with the artificial sensory experience. | 07-01-2010 |
| 20100169260 | Methods and systems for presenting an inhalation experience - Methods, computer program products, and systems are described that include accepting an indication of a schedule for administration of an inhalation device-dispensed bioactive agent to an individual and presenting an indication of an artificial sensory experience at least partly based on the accepting an indication of the schedule for administration of the inhalation device-dispensed bioactive agent to the individual. | 07-01-2010 |
| 20100185574 | NETWORK MECHANISMS FOR A RISK BASED INTEROPERABILITY STANDARD FOR SECURITY SYSTEMS - Methods for managing risk values at divestiture (e.g., a passenger checks luggage) and aggregating risk values over a grouped entity (e.g. a passenger with all his/her items). | 07-22-2010 |
| 20100185575 | METHOD FOR OPTIMIZING THE SCANNING PROCESS OF A MOBILE TERMINAL - A method for optimizing the scanning process of a mobile terminal, the scanning process being performed by the mobile terminal in order to discover an available network to which a connection is possible, wherein at least a part of existing networks is registered to a server, wherein the server provides its information regarding the registered networks to the mobile terminal, is characterized in that the scanning period of the mobile terminal is dynamically adjusted on the basis of information provided by the server. | 07-22-2010 |
| 20100191686 | Answer Ranking In Community Question-Answering Sites - In some implementations, a plurality of first questions and corresponding first answers are identified at a community question-answer (CQA) site as a plurality of first question-answer (q-a) pairs. A query thread comprised of a second question and a plurality of candidate second answers is selected for making a determination of answer quality. A set of the first questions that are similar to the second question are identified from the plurality of first questions. First linking features between the identified set of first questions and their corresponding first answers are used for determining an analogy with second linking features between the second question and candidate answers for ranking the candidate answers. | 07-29-2010 |
| 20100191687 | DYNAMIC CONSTRAINT SOLVER WITH CROSS PROBLEM CONSTRAINTS - A dynamic constraint solver solves a constraint satisfaction problem that includes a problem having zero or more ports, and zero or more sub-problems coupled to the zero or more ports. The solver stores a cross problem constraint template for cross problem constraints. The solver receives a request to connect a first sub-problem to a first port of a first problem. The solver then determines if the first sub-problem forms a participating problem combination for the cross problem constraint template. The participating problem combination includes all participating problems of the cross problem constraint. The solver then generates the cross problem constraint for the participating problem combination if the first sub-problem forms the participating problem combination. | 07-29-2010 |
| 20100191688 | DYNAMIC CONSTRAINT SOLVER WITH RESOURCE SUM CONSTRAINTS - A solver for solving a dynamic constant satisfaction problem that includes a resource sum constraint and a port for coupling zero or more sub-problems to the problem. The solver couples a new sub-problem to the port. The solver then, based at least on the coupling, determines a revised resource sum domain for the problem, the revised resource sum domain including a contribution from existing participants and a contribution from potential participants. | 07-29-2010 |
| 20100191689 | VIDEO CONTENT ANALYSIS FOR AUTOMATIC DEMOGRAPHICS RECOGNITION OF USERS AND VIDEOS - A video demographics analysis system selects a training set of videos to use to correlate viewer demographics and video content data. The video demographics analysis system extracts demographic data from viewer profiles related to videos in the training set and creates a set of demographic distributions, and also extracts video data from videos in the training set. The video demographics analysis system correlates the viewer demographics with the video data of videos viewed by that viewer. Using the prediction model produced by the machine learning process, a new video about which there is no a priori knowledge can be associated with a predicted demographic distribution specifying probabilities of the video appealing to different types of people within a given demographic category, such as people of different ages within an age demographic category. | 07-29-2010 |
| 20100198767 | SYSTEM AND METHOD FOR CREATING THEMATIC LISTENING EXPERIENCES IN A NETWORKED PEER MEDIA RECOMMENDATION ENVIRONMENT - Systems and methods for providing a thematic playback experience in a peer-to-peer media recommendation system are disclosed. | 08-05-2010 |
| 20100205131 | Predicting the Outcome of Events Based on Related Internet Activity - Particular embodiments of the present invention are directed to systems and methods for predicting the outcome of events based on internet activity associated with such events. For example, an internet activity metric associated with one or more events may be determined. The internet activity metric may be based at least on the popularity of particular search terms related to the events. The outcomes of the events may also be determined. The determined internet activity metrics and the outcomes of the one or more events may be analyzed to generate an algorithm for predicting the outcomes of subsequent events. For example, an internet activity metric associated with a particular subsequent event (e.g., based at least on the popularity of a particular search term related to the subsequent event) may be determined, and the algorithm may be applied to the internet activity metric to predict the outcome of the particular subsequent event. | 08-12-2010 |
| 20100205132 | BEHAVIOR PREDICTING DEVICE - A characteristic value temporary setting section temporarily sets a characteristic value of an object depending on the type of the object judged by a type judging section. A characteristic value correcting section corrects the temporarily set characteristic value of the object according to the behavior of the object detected by a behavior detecting section. A type setting section sets the type of object as one of a motorcycle, a bicycle, and a pedestrian according to the corrected characteristic value of the object. A behavior predicting section predicts the behavior of the object on the basis of the corrected characteristic value and the set type of the object. Therefore, the behavior is predicted on the basis of the characteristic value corrected according to the actual behavior and the type of the object, and consequently, the accuracy of the behavior prediction is improved. | 08-12-2010 |
| 20100205133 | SYSTEM AND METHOD FOR PROVIDING AUTONOMIC MANAGEMENT OF A NETWORKED SYSTEM FOR USING AN ACTION-CENTRIC APPROACH - According to the present invention, there is provided a SAN management system to provide autonomic management of a storage system using an action-centric approach. The SAN management system includes a policy specification logic block to maintain a policy specification associated with the managed system. In addition, the SAN management system includes a reasoning logic block to provide for the determining of action rules using a combination of logic and information obtained from the policy specification. Also, the SAN management system includes a learning logic block to couple the policy specification logic block with the reasoning logic block to improve an understanding of a managed system. The learning is continuous and provides for autonomic evolvement of the system in which reliance on manual input from a user is lessened. | 08-12-2010 |
| 20100235311 | QUESTION AND ANSWER SEARCH - Exemplary methods, computer-readable media, and systems are presented for leveraging question-answering knowledge from community sites by complementing product search services with a search of questions, answers, reviews and other Internet accessible content including user-generated content. Product or service information is obtained by crawling Internet-accessible Web sites including community sites. An integrated index of such information is generated. A user is able to browse questions by product or service feature, by topic, by identified comparative questions, and by question ranking (for example, interestingness or popularity). | 09-16-2010 |
| 20100241602 | METHOD AND SYSTEM FOR FACILITATING DYNAMIC LEARNING - The present invention provides methods and systems for facilitating dynamic learning for a user. The methods and systems include assimilating information related to the attributes associated with the user from multiple sources, linking the assimilated information with multiple learning conduits, selecting a subset of the multiple learning conduits based on a predefined criterion, customizing the selected subset of the multiple learning conduits based on the assimilated information, and providing the subset of the multiple learning conduits for facilitating dynamic learning for the user. The assimilated information is embedded into the multiple pre-existing learning conduits. | 09-23-2010 |
| 20100250478 | Demo Verification Provisioning - A method, system, and computer program product for issuing an alert when a method of a live demonstration deviates from demonstration simulation actions. A computer receives a command to commence a demonstration simulation. During the demonstration simulation, capture logic of a computer is initialized. The capture logic records events of the demonstration simulation. When a live demonstration subsequently initiated, demonstration verification logic of the computer continually monitors, in real-time, events of the live demonstration and compares the events to the previously recorded events captured during the demonstration simulation. In response to detecting that a live demonstration has deviated from the recorded demonstration simulation method, the demonstration verification logic issues a non-invasive alert. The non-invasive alert may be issued using visual, audible, or vibration feedback cues in such manner that an audience observing the live demonstration is un-aware of the non-invasive alert. | 09-30-2010 |
| 20100250479 | INTELLECTUAL PROPERTY DISCOVERY AND MAPPING SYSTEMS AND METHODS - An apparatus can include an information gathering module, a semantic abstract generation module, and an intellectual property space identification module. The information gathering module can retrieve information pertaining to intellectual property activities within a particular technical field. The semantic abstract generation module can generate semantic abstracts based on the information retrieved by the information gathering module. The intellectual property space identification module can perform an evaluation of the particular technical field based on the generated semantic abstracts. | 09-30-2010 |
| 20100268678 | Dynamic Constraint Satisfaction Problem Solver with Hierarchical Union Constraints - A dynamic constraint solver system for solving a constraint satisfaction problem model includes a plurality of ports. The system defines a hierarchical union that includes all problems in a lower port that is in a problem under another port in the model. The system generates a constraint that computes a cardinality of the hierarchical union and determines an included set and an excluded set for the hierarchical union. The system then propagates the included set and excluded set to participating ports of the hierarchical union. | 10-21-2010 |
| 20100268679 | Horticultural Knowledge Base for Managing Yards and Gardens - Therefore, the illustrative embodiments provide an apparatus for performing horticultural tasks. In an illustrative embodiment, an apparatus is comprised of a number of data storage devices, a planning process, and a processor unit. The number of data storage devices includes a knowledge base. The processor unit executes the planning process and accesses the knowledge base on the number of data storage devices to identify a horticultural need for a plurality of plants. | 10-21-2010 |
| 20100268680 | SYSTEMS AND METHODS FOR PRIORITIZING MOBILE MEDIA PLAYER FILES - Disclosed are embodiments of systems and methods for prioritizing mobile media player files by providing for the automated addition and/or deletion of media items for a mobile media player. In some embodiments, a statistical method may be provided for inferring which media items on a mobile media player should be deleted based on, for example, user taste data. In some embodiments, new media items may be loaded onto a user's mobile media player by creating one or more playlists from a playlist builder. The playlist(s) may be created by using user taste data. Rankings may also be created to determine an order for deletion of the media items currently on a mobile media player and/or for addition of new media items to the device. | 10-21-2010 |
| 20100274748 | Dynamic Constraint Satisfaction Problem Solver With Part-Whole Hierarchy Constraints - A constraint solver for solving a constraint satisfaction problem model which includes at least one part-whole hierarchy assigns variables to each part of the part-whole hierarchy. The variables include at least one of selected, quantity, and relative quantity, wherein each part has a parent. The solver automatically applies at least one part-whole hierarchy constraint to the part and solves the model and generates a solution. | 10-28-2010 |
| 20100274749 | Constraint Based System With Domain Splitting - A solver for a constraint satisfaction problem includes a plurality of variables and a plurality of constraints. A floating point variable has a domain and is assigned a value by first determining if a predetermined value can be assigned to the floating point variable if the predetermined value is in the domain. If not, the solver determines if a bound of the domain can be assigned to the floating point variable. If the predetermined value can not be assigned to the floating point variable and the bound of the domain can not be assigned to the floating point variable, the solver assigns a value to the floating point variable using domain splitting. | 10-28-2010 |
| 20100280983 | APPARATUS AND METHOD FOR PREDICTING USER'S INTENTION BASED ON MULTIMODAL INFORMATION - Disclosed are an apparatus and method of deducing a user's intention using multimodal information. The user's intention deduction apparatus includes a first predictor to predict a part of a user's intention using at least one piece of motion information, and a second predictor to predict the user's intention using the predicted part of the user's intention and multimodal information received from at least one multimodal sensor. | 11-04-2010 |
| 20100287129 | SYSTEM, METHOD, OR APPARATUS RELATING TO CATEGORIZING OR SELECTING POTENTIAL SEARCH RESULTS - Embodiments of methods, apparatuses, devices and systems associated with categorizing or selecting potential search engine results are disclosed. | 11-11-2010 |
| 20100293126 | AUTOMATED JOB APPLICATION SYSTEM INCLUDING APPLICANT HINTS - An automated job application system includes a processor coupled to a display and to a user input device, wherein the automated job application system executes one or more instructions for accepting signals from the user input device to determine responses to questions in a job application; comparing the responses to predetermined conditions; determining that one condition is not met; displaying on the display a notification that the condition is not met; and accepting a signal from a user input device to modify a response to the condition so that the condition is met. In a more specific embodiment, the instructions facilitate displaying the notification that the condition is not met via a hint list. The hint list may provide a plurality of conditions that are not met. The conditions may be required or desired and not required, and an indication may be displayed indicative of which required or desired conditions have been met by the applicant. | 11-18-2010 |
| 20100299300 | RUNTIME INTERPRETATION OF DECLARATIVE PROGRAMS - Embodiments are directed to interpreting declarative program types at runtime without compiling and mapping between a declarative type and a dynamic runtime type. A computer system accesses a portion of a declarative program, where the declarative program includes fully modeled activity types. The computer system dynamically constructs a dynamic activity type based on one of the fully modeled activity types of the declarative program, where the dynamic activity type is configured for interpretive execution without compilation. The computer system also interpretively executes the dynamically constructed dynamic activity type such that the dynamic activity is executed without compilation. | 11-25-2010 |
| 20100299301 | System and Method for Automatically Predicting the Outcome of Expert Forecasts - Systems and methods are provided that predict the accuracy of expert forecasts based on a corpus of prior expert forecasts. Expert forecasts (also referred to as opinions) are analyzed and processed to determine an opinion and related positions expressed by the expert. Each opinion is combined with relevant industry information to create a structured model for the opinion. A plurality of structured models for a given expert are then analyzed along with information related to the actual outcome of prior predictions to create a decision model for the particular expert. A new opinion issued by an expert is then analyzed using the decision model for that expert to predict the accuracy of the new opinion from the expert. Recommended actions in accordance with or against the new expert opinion may then be provided. | 11-25-2010 |
| 20100306147 | Boosting to Determine Indicative Features from a Training Set - Determining indicative features may be provided. First, a first set of features may be determined using a document frequency process. Then a second set of features may be determined using a boosting process. Using the boosting process may comprise using an approximation for a one-dimensional optimization. The approximation may include an upper bound. Next, the first set of features and the second set of features may be combined into a combined set of features. The combined set of features may comprise a union of the first set of features and the second set of features. At least one document may then be classified based on the combined set of features. | 12-02-2010 |
| 20100306148 | PREDICTING WHETHER STRINGS IDENTIFY A SAME SUBJECT - The present invention is directed to predicting whether two character strings refer to a same subject. An exemplary embodiment includes using a set of character-string pairs, which have been identified as either matches or nonmatches, to learn a function. The function can then be applied to the two character strings to quantify a likelihood that they refer to the same subject matter. For example, a kernel-based classifier analyzes the set of character-string pairs using a kernel function. Based on the analysis the classifier can generate parameters. The parameters are usable to define a prediction algorithm that when applied to the two character strings generates a prediction value, which suggests whether the two characters are matches, i.e., refer to the same subject matter. | 12-02-2010 |
| 20100306149 | Planning method and system for use in cognitive programs - A system for achieving a desired goal in a domain. The system may comprise a device operable to receive information and simulate the domain therefrom; a device operable to simulate one or more effects due to one or more operators; a device operable to specify a number of items and/or classes of items and whether each item and/or each class of items is an affectable obstacle or a non-affectable obstacle; a device operable to automatically generate a candidate plan to achieve the desired goal by utilizing the simulated domain and the simulated effect(s), wherein the candidate plan could involve one or more affectable obstacles but does not involve any non-affectable obstacles; and a device operable to automatically refine the candidate plan to change at least one of the affectable obstacles involved in the candidate plan. | 12-02-2010 |
| 20100306150 | CIRCUITS FOR SOFT LOGICAL FUNCTIONS - A circuit implementing a soft logical processing network includes an interconnection of analog processing elements, which can include soft logic gates, for instance soft Equals gates and soft XOR gates. In some examples, each of the soft logic gates include multiple circuit parts, with each part including an input configured to accept a voltage signal representation of a soft logical quantity, and a conversion section configured to use the accepted voltage representation to form a corresponding current signal. The current signals are combined to form a signal representation of the output of the gate. In an application of soft logic gates, a memory includes a group of electrical storage elements, each electrical storage elements carrying a respective storage values; a group of conversion elements, each conversion element being coupled to a respective electrical storage element for selectively converting the corresponding storage value to a current signal; and a current combination element for combining the current signals to form an output signal. | 12-02-2010 |
| 20100306151 | IN HIERARCHY DETERMINATION FOR POWER MONITORING SYSTEMS - A method of automatically learning how multiple devices are directly or indirectly linked in a monitoring system, comprises determining configuration parameters for the multiple devices in said system, receiving data measured by the devices, and grouping the devices into multiple segments according to at least one type of information selected from the group consisting of configuration parameters and data measured by said devices. Potential relationships of the devices in each segment are determined according to at least one type of information selected from the group consisting of configuration parameters and data measured by the devices, the hierarchies of the devices within individual segments are determined, and the hierarchies of the top-most device or devices in the segments are determined. | 12-02-2010 |
| 20100312738 | CONTEXT-BASED FAILURE REPORTING FOR A CONSTRAINT SATISFACTION PROBLEM - A method for solving a constraint satisfaction problem (CSP) comprises identifying a first illegal combination associated with at least one variable, wherein the first illegal combination contradicts at least one constraint; grouping the first illegal combination with a second illegal combination, in response to determining that the first and second illegal combinations contradict the same constraint; identifying at least one failure explanation for each group of illegal combinations, wherein the failure explanation is associated with at least one illegal combination in said group to provide a reason for a contradicted constraint associated with the illegal combination; assigning a value to each variable in the given domain to solve the CSP within the limitations defined by the constraints in a solution path; and generating a result, in response to determining that at least one assigned value to a variable contradicts a constraint. | 12-09-2010 |
| 20100318484 | MANAGING ONLINE CONTENT BASED ON ITS PREDICTED POPULARITY - A historical popularity value is determined for a user-selectable online content from historical data describing user accesses to the user-selectable online content over a selected period. A predicted popularity value describing future popularity of the user-selectable online content at a future time after the selected period is ascertained from the historically popularity value. A web site from which user-selectable online content is accessible is managed based on the predicted popularity value. | 12-16-2010 |
| 20100318485 | INFORMATION DISTRIBUTION APPARATUS, INFORMATION DISTRIBUTION SYSTEM, METHOD AND PROGRAM - An information distribution system which can distribute information efficiently. The information distribution apparatus ( | 12-16-2010 |
| 20100325075 | MARKOV DECISION PROCESS-BASED SUPPORT TOOL FOR RESERVOIR DEVELOPMENT PLANNING - A Markov decision process-based support tool for reservoir development planning can comprise a source of input data, an optimization model, a high fidelity model for simulating the reservoir, and one or more solution routines interfacing with the optimization model. The optimization model can consider unknown parameters having uncertainties directly within the optimization model. The model incorporates the flexibility that a decision-maker has in the real world and allows the decision-maker to adjust the decisions based on new information. The model can systematically address uncertain data, for example comprehensively or even taking all uncertain data into account. Accordingly, the optimization model can provide flexible or robust solutions that remain feasible over an uncertainty space. Once the reservoir model is optimized, final development plans may be generated. | 12-23-2010 |
| 20100332435 | CONSTRAINT BASED SYSTEM THAT IDENTIFIES TOP CONSTRAINT EXPRESSIONS - A constraint solver solves a constraint satisfaction problem (“CSP”) that includes a network of variables and constraints. The solver receives a sub-expression and determines if the sub-expression is an internal constraint of the CSP. The internal constraint has a supporting operator expression. If the sub-expression is an internal constraint, the solver determines any or all top constraint expressions associated with the supporting operator expression. | 12-30-2010 |
| 20100332436 | MULTI-PAIRS SHORTEST PATH FINDING METHOD AND SYSTEM - A method and system for solving shortest paths from multiple sources to multiple destinations faster. A method of solving the multiple-pairs shortest path problem is provided using processing by a computer having storage means. The method includes the steps of: (A) reading graph data S on multiple vertices as search starting points from a storage area of the computer; (B) reading graph data T on multiple vertices as search targets from the storage area of the computer; (C) selecting k vertices s | 12-30-2010 |
| 20110010323 | INFERRING VIEW SEQUENCE AND RELEVANCE DATA - A system described herein includes a receiver component that receives action sequence data pertaining to a plurality of selectable graphical items displayed to a user on a computer display screen, wherein the action sequence data is indicative of an order in which the user performed an action with respect to a first subset of graphical items in the plurality of selectable graphical items. The system also includes a determiner component that infers a view sequence with respect to a second subset of graphical items in the plurality of graphical items, wherein the view sequence is an order that the user viewed graphical items in the second subset of graphical items, and wherein the second subset of graphical items comprises the first subset of graphical items and at least one other graphical item in the plurality of graphical items. | 01-13-2011 |
| 20110010324 | SYSTEMS AND METHODS FOR MAKING CONTEXTUAL RECOMMENDATIONS - A method and a system for making contextual recommendations to users on a network-based system. For example, a first and second related category are selected and a relationship score is calculated representing an aspect of the relationship between the first and second related categories. A relationship type is selected to represent the relationship between the first and second categories using the relationship score. The relationship type is one of either a complement or a substitute. A complement relationship indicates a complementary relationship between the first and second related categories. While a substitute relationship indicates a substitutionary relationship between the first and second categories. The relationship type is stored associated with the first and second related categories. Using the selected relationship type, a recommendation is provided to a user on the network-based system. | 01-13-2011 |
| 20110016072 | OPERATION SUPPORT APPARATUS AND OPERATION SUPPORT METHOD - An operation support apparatus includes: an operation record storage unit ( | 01-20-2011 |
| 20110016073 | METHOD FOR PREDICTING A FUTURE PROPERTY - A method for measuring specific substances and extracting objective information from the measurements that is especially applicable in immunoassays but can also be used in other assays which rely on affinity between binding partners. The invention overcomes problems and difficulties caused by disturbing or interfering phenomena by exploiting a mathematical algorithm which predicts the target value from a series of measurements performed during the reaction. The mathematical method of linear prediction is used for this purpose. | 01-20-2011 |
| 20110022556 | METHOD AND SYSTEM FOR CONNECTING ANALYTIC NETWORK PROCESS MODEL (ANP) WITH FEEDBACK THROUGHOUT THE ANP MODEL BETWEEN SUB-NETWORKS - A computer-implemented system is provided for an analytic network process (ANP) control structure with feedback throughout the ANP control structure. The computer-implemented system includes an ANP control structure storage unit that stores an ANP control structure with feedback throughout the ANP control structure. Also included is a synthesizer that performs a BOCR calculation on the ANP control structure with feedback throughout the ANP control structure, to yield a result which is proper according to ANP theory when values are non-trivial. Also disclosed is a computer-implemented method for an analytic network process (ANP) control structure with feedback through the ANP control structure, and a related computer-readable storage medium encoded with a computer program. | 01-27-2011 |
| 20110022557 | DYNAMIC CONSTRAINT SATISFACTION PROBLEM SOLVER WITH INFERRED PROBLEM ASSOCIATION REMOVAL - A constraint solver for solving a constraint satisfaction problem network that comprises a plurality of nodes and a plurality of constraints. The solver receives a request to remove an inferred problem association and determines one or more user decisions that triggered the inferred problem association. | 01-27-2011 |
| 20110022558 | Recursive Cause-and-Effect Processing Engine - This unique smart grid invention is a configurable and flexible event-driven cause and effect inter-process information processing engine, providing continuous processing beyond any single existing smart grid event. | 01-27-2011 |
| 20110047113 | Method and apparatus for the prediction of order turnaround time in an information verification system - A method and apparatus for the prediction of order turnaround time in an information verification system is disclosed. An information verification order comprises several and diverse instances of different types of elementary verification/validation/search services. Each of these services is characterized by its own turnaround time (TAT) statistical distribution function which is used in the prediction of order turnaround time. A Monte Carlo algorithm is used to determine the order turnaround time. | 02-24-2011 |
| 20110047114 | METHOD, APPARATUS AND COMPUTER PROGRAM FOR ENABLING MANAGEMENT OF RISK AND/OR OPPORTUNITY - The invention relates to a method for enabling management of at least one opportunity having a maximum opportunity level and to which one or more exploits that realise the opportunity can be applied, the method comprising: (i) determining the total opportunity improvement of all exploits applicable to at least one opportunity assuming that all said exploits are fully applied to realise the opportunity and that all said exploits are independent of each other; (ii) determining the contribution of the or each said exploit to said total opportunity increase; (iii) determining the level of actual opportunity increase from each said exploit taking into account, for each of said exploits, the contribution of the or each exploit to said total opportunity increase, the dependency of the exploit on other exploits applicable to said opportunity, and the degree to which the exploit is applied to realise said opportunity; and, (iv) determining from said levels of actual opportunity increase from each said exploit the total actual result improvement applied to said result. | 02-24-2011 |
| 20110055132 | IDENTIFICATION AND MEASUREMENT OF SOCIAL INFLUENCE AND CORRELATION - Techniques for detecting social influence between users in a set of users with regard to an activity are provided. Data for each user of the set of users is received that includes a time value at which the user became active with regard to the activity, and includes at least one indication of another user in the set of users associated with the user. A first estimate of social correlation in the set of users is determined based on the data. The data is modified. For instance, the data may be modified according to a shuffle test and/or an edge reversal test. A second estimate of social correlation in the set of users is determined based on the modified data. The first estimate is compared to the second estimate to determine a degree of social influence in the set of users. | 03-03-2011 |
| 20110055133 | Systems and Methods for Analyzing Communication Options - Methods and systems for analyzing communication options, including determining one or more states of one or more communication-related conditions, and analyzing the one or more states and one or more communication options to determine an optimum communication option. | 03-03-2011 |
| 20110060711 | PROCESSING RELATIONAL DATABASE PROBLEMS USING ANALOG PROCESSORS - Systems, methods and articles solve queries or database problems through the use of graphs. An association graph may be formed based on a query graph and a database graph. The association graph may be solved for a clique, providing the results to a query or problem and/or an indication of a level of responsiveness of the results. Thus, unlimited relaxation of constraint may be achieved. Analog processors such as quantum processors may be used to solve for the clique. | 03-10-2011 |
| 20110066582 | SERVICE COMBINATION SUPPORT APPARATUS, SERVICE COMBINATION SUPPORT METHOD, AND STORAGE MEDIUM - A service combination proposing unit ( | 03-17-2011 |
| 20110078101 | RECOMMENDING ONE OR MORE EXISTING NOTES RELATED TO A CURRENT ANALYTIC ACTIVITY OF A USER - Methods and apparatus are provided for recommending one or more existing notes related to a current analytic activity of a user. One or more existing notes related to a current analytic activity of a user are recommended by maintaining a logical record of analytic activity of the user by recording one or more visual analytic actions performed by a user; generating a context model for a plurality of the existing notes, wherein the context model for a given existing note represents information interests of the user; determining a relevance score for each of the plurality of existing notes, wherein a given relevance score characterizes a relevance of a corresponding existing note to the current analytic activity; and recommending one or more existing notes based on the determined relevance scores. The context model for the given existing note represents the information interests of the user at a time surrounding the point when the user recorded the corresponding existing note. | 03-31-2011 |
| 20110078102 | SYSTEM AND METHOD FOR DETECTING SYSTEM RELATIONSHIPS BY CORRELATING SYSTEM WORKLOAD ACTIVITY LEVELS - Relationships between systems can be inferred through a correlation analysis of the system workload activity levels. A method, computer readable medium and system are provided for analyzing correlations between the system workloads. The method comprises obtaining a set of quantile-based workload data pertaining to a plurality of systems. The correlation coefficient limit may then be used to compute the workload correlation scores for the plurality of systems and a result indicative of relationships between the systems then provided. | 03-31-2011 |
| 20110082825 | METHOD AND APPARATUS FOR PROVIDING A CO-CREATION PLATFORM - An approach is provided for providing a co-creation platform. A co-creation application extracts tags from a plurality of information sources reflecting the expertise of a user. The co-creation application creates a model of the user's expertise by applying a probabilistic analysis on the extracted tags. The co-creation application collects assignment information including at least one or more specified areas of expertise, and matches the model of the user's expertise against the specified areas of expertise. | 04-07-2011 |
| 20110087629 | TECHNIQUES FOR PROCESSING ONTOLOGIES - Techniques for processing ontologies include a computer-implemented method of processing an ontology. The method includes storing data in an ontology and partitioning the ontology into a plurality of partitions. The partitions are distributed among a plurality of reasoner instances. The reasoner instances are directed to reason the partitions and the results from the reasoner instances are combined. If data is changed, an inference library resulting from the combined results may be updated by updating only those portions of the inference library affected by the changed data. | 04-14-2011 |
| 20110093421 | DYNAMIC CONSTRAINT SATISFACTION PROBLEM SOLVER WITH SUB-PROBLEM PLACEHOLDER - A dynamic constraint solver for solving a constraint satisfaction problem network that includes a plurality of nodes and a plurality of constraints determines a cardinality for a set of sub-problems. The cardinality is a numeric domain that represents the minimum number of instances in a port. The solver determines if a number of identifiable instances of sub-problems is less than the minimum number of instances. The solver then causes a user interface to display the identifiable instances and a placeholder for each instance that is below the minimum number of instances and is not identifiable. | 04-21-2011 |
| 20110093422 | TIME-BASED CONFLICT RESOLUTION - A conflict resolution mechanism collects statistical data regarding how much time certain common actions or waits take. For example, the mechanism may collect statistics on disk I/O for each disk device. Statistics may include the average access time, for example. Such statistics may be collected over a sliding window of time. With the statistical data that the mechanism collects, the mechanism can make a more intelligent judgment regarding whether a process is in a “hanging” condition. For example, if the average I/O to a disk is 10 seconds for the past hour, and if a process is doing disk I/O to that disk for 5 seconds, then the mechanism will not yet determine that the process is hanging. In order to determine whether the process is hanging, the mechanism looks at the average time and the longest time for the particular actions that the process is performing. | 04-21-2011 |
| 20110093423 | INTELLIGENT TRUST MANAGEMENT METHOD AND SYSTEM - Intelligent Trust Management provides a centralized security facility that gives system components a flexible mechanism for implementing security policies. System components such as applications create a request describing an action that needs to be checked against an appropriate security policy. The request is given to a trust system that determines which policy object applies to the request, and may pass request arguments to the policy. The policy objects include executable code that uses any arguments along with dynamically obtained variable information to make a decision. The decision is returned to the system component, which then operates accordingly. Policy objects may maintain state and interface with the user independent of the system component in order to obtain information to make their decisions. Policy objects may call other policy objects and/or mathematically combine the results of other policy objects to make a decision. | 04-21-2011 |
| 20110099138 | GAP REDUCTION TECHNIQUES FOR STOCHASTIC ALGORITHMS - In one exemplary embodiment of the invention, a method includes: receiving, by an input, input data descriptive of a stochastic scheduling optimization problem; generating, by a processor, at least one solution to the stochastic scheduling optimization problem using a one-step anticipatory algorithm, where the one-step anticipatory algorithm is configured to reduce an anticipatory gap of the stochastic scheduling optimization problem, where the anticipatory gap is a measure of stochasticity of the stochastic scheduling optimization problem, where the one-step anticipatory algorithm operates by determining a set of possible decisions for the stochastic scheduling optimization problem, generating a plurality of scenarios and solving the plurality of scenarios to obtain the at least one solution; and outputting, by an output, the generated at least one solution. | 04-28-2011 |
| 20110106743 | METHOD AND SYSTEM TO PREDICT A DATA VALUE - Embodiments of the present invention include methods and systems for predicting the likelihood of topics appearing in a set of data such as text. A number of latent variable methods are used to convert the data into a set of topics, topic values and topic profiles. A number of time-course methods are used to model how topic values change given previous topic profiles, or to find historical times with similar topic values and then projecting the topic profile forward from that historical time to predict the likelihood of the topics appearing. Embodiments include utilizing focus topics, such as valence topics, and data representing financial measures to predict the likelihood of topics. Methods and systems for modeling data and predicting the likelihood of topics over other dimensions are also contemplated. | 05-05-2011 |
| 20110106744 | CONTENT RECOMMENDATION DEVICE, CONTENT RECOMMENDATION SYSTEM, CONTENT RECOMMENDATION METHOD, PROGRAM, AND INTEGRATED CIRCUIT - A content recommendation device and a content recommendation method that recommend appropriate content with appropriate timing are provided. The content recommendation device ( | 05-05-2011 |
| 20110119216 | NATURAL INPUT TRAINER FOR GESTURAL INSTRUCTION - A computing device that detects precursory user-input preactions executed in an instructive region and user-input action gestures executed in a functionally-active region is provided. The computing device includes a natural input trainer to present a predictive input cue on a display in response to detecting a precursory user-input preaction performed in the instructive region. The computing device also includes an interface engine to execute a computing function in response to detecting a successive user-input action gesture performed in the functionally-active region subsequent to detection of the precursory user-input preaction. | 05-19-2011 |
| 20110119217 | APPARATUS AND METHOD FOR RECOMMENDING SERVICE - Provided are a service recommending apparatus and method. The service recommending method uses situation information, such as location information of a terminal possessed by a user and a user profile, to deduce the user's activity, predicts a service that is expected to be preferred by the user according to the user's situation, and provides the result of the prediction to the user. The location information of the terminal is acquired from a network server such as a location information server through an open API gateway. | 05-19-2011 |
| 20110119218 | SYSTEM AND METHOD FOR DETERMINING AN ENTITY'S IDENTITY AND ASSESSING RISKS RELATED THERETO - The invention describes systems and methods of determining an entity's identity and assessing risk related to the entity's identity using a computer. A computer-based system including a tracking module, an information module, a risk assessment module, and a memory is provided. The tracking module records encounters of the entity with the computer-based system. The information module gathers and detects changes in biographic information and biometric information relating to the entity's identity. The risk assessment module evaluates risks associated with the entity. The memory stores the information. | 05-19-2011 |
| 20110125689 | System and method for physical attribute status comparison of physical entities including physical entities associated with a social network and selected based on location information - A method includes, but is not limited to: selecting, through use of at least in part at least one of a machine, article of manufacture, or composition of matter, one or more first physical entities based at least in part upon location information, the selecting the one or more first physical entities for comparing the one or more first physical entities with one or more second physical entities, each of the one or more first physical entities associated with an electronic based social networking service, obtaining, through use of at least in part at least one of a machine, article of manufacture, or composition of matter, status information about one or more physical attributes for each of the one or more first physical entities and for each of the one or more second physical entities, the one or more physical attributes each being perceived by one or more humans as being capable of having one or more effects upon one or more physical environments, and determining, through use of at least in part at least one of a machine, article of manufacture, or composition of matter, assessment information by at least in part comparing the one or more first physical entities with the one or more second physical entities based at least in part upon the status information about the one or more physical attributes for each of the one or more first physical entities and for each of the one or more second physical entities. In addition to the foregoing, other related method/system aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-26-2011 |
| 20110125690 | System and method for output of physical entity comparison associated with a social network and selected based on location information - A method includes, but is not limited to: obtaining assessment information being performed at least in part by at least one of a machine, article of manufacture, or composition of matter, the assessment information based at least in part on a comparing being performed at least in part by at least one of a machine, article of manufacture, or composition of matter, the comparing being between one or more first physical entities and one or more second physical entities based at least in part on status information about one or more physical attributes for each of the one or more first physical entities and for each of the one or more second physical entities, the one or more first physical entities being selected for the comparing at least in part by at least one of a machine, article of manufacture, or composition of matter based at least in part on location information, each of the one or more first physical entities being associated with an electronic based social networking service, the one or more physical attributes each being perceived by one or more humans as being capable of having one or more effects upon one or more physical environments, and outputting output information at least in part by at least one of a machine, article of manufacture, or composition of matter based at least in part upon one or more elements of the assessment information. In addition to the foregoing, other related system/system aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-26-2011 |
| 20110125691 | System and method for output of comparison of physical entities of a received selection and associated with a social network - A method includes, but is not limited to: obtaining assessment information being performed at least in part by at least one of a machine, article of manufacture, or composition of matter, the assessment information based at least in part on a comparing being performed at least in part by at least one of a machine, article of manufacture, or composition of matter, the comparing being between one or more first physical entities and one or more second physical entities, the comparing based at least in part on receiving a selection of the one or more first physical entities, the receiving the selection being performed at least in part by at least one of a machine, article of manufacture, or composition of matter, the selection being based at least in part on each of the one or more first physical entities being associated with an electronic based social networking service, the comparing being based at least in part upon status information about one or more physical attributes for each of the one or more first physical entities and for each of the one or more second physical entities, the one or more physical attributes each being perceived by one or more humans as being capable of having one or more effects upon one or more physical environments, and outputting output information at least in part by at least one of a machine, article of manufacture, or composition of matter based at least in part upon one or more elements of the assessment information. In addition to the foregoing, other related system/system aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-26-2011 |
| 20110125692 | System and method for physical attribute status comparison of physical entities including physical entities associated with a social network and selected based on location information - A method includes, but is not limited to: selecting, through use of at least in part at least one of a machine, article of manufacture, or composition of matter, one or more first physical entities based at least in part upon location information, the selecting the one or more first physical entities for comparing the one or more first physical entities with one or more second physical entities, each of the one or more first physical entities associated with an electronic based social networking service, obtaining, through use of at least in part at least one of a machine, article of manufacture, or composition of matter, status information about one or more physical attributes for each of the one or more first physical entities and for each of the one or more second physical entities, the one or more physical attributes each being perceived by one or more humans as being capable of having one or more effects upon one or more physical environments, and determining, through use of at least in part at least one of a machine, article of manufacture, or composition of matter, assessment information by at least in part comparing the one or more first physical entities with the one or more second physical entities based at least in part upon the status information about the one or more physical attributes for each of the one or more first physical entities and for each of the one or more second physical entities. In addition to the foregoing, other related method/system aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-26-2011 |
| 20110125693 | System and method for output of physical entity comparison associated wih a social network and selected based on location information - A method includes, but is not limited to: obtaining assessment information being performed at least in part by at least one of a machine, article of manufacture, or composition of matter, the assessment information based at least in part on a comparing being performed at least in part by at least one of a machine, article of manufacture, or composition of matter, the comparing being between one or more first physical entities and one or more second physical entities based at least in part on status information about one or more physical attributes for each of the one or more first physical entities and for each of the one or more second physical entities, the one or more first physical entities being selected for the comparing at least in part by at least one of a machine, article of manufacture, or composition of matter based at least in part on location information, each of the one or more first physical entities being associated with an electronic based social networking service, the one or more physical attributes each being perceived by one or more humans as being capable of having one or more effects upon one or more physical environments, and outputting output information at least in part by at least one of a machine, article of manufacture, or composition of matter based at least in part upon one or more elements of the assessment information. In addition to the foregoing, other related system/system aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-26-2011 |
| 20110125694 | Device and Method for the Partially or Completely Automatic Commissioning of Packs - A method for the partially or completely automatic commissioning of packs of one or several articles, in particular beverage articles, including receiving a commissioning order for preparing a target unit which comprises a target carrier and target packs of one or several articles, holding ready a source unit which comprises a source carrier and source packs of a predetermined article, automatically determining whether the source unit is suited for negative commissioning based on the commissioning order, and if the source unit is suited for negative commissioning, use of the source unit as target unit. | 05-26-2011 |
| 20110125695 | Hardware Processing of Regular Expressions - A system and method for hardware processing of regular expressions is disclosed. A register bank is loaded with state information associated with one or more states of a state machine. State information such as transitions and spin counts are updated as characters of an input data stream are processed. A crossbar is used to interconnect the states stored in the register bank. | 05-26-2011 |
| 20110131167 | LP relaxation modification and cut selection in a MIP solver - Mixed integer programs (MIP) are solved by constructing and solving associated linear programming (LP) relaxation problems. The LP relaxations are iteratively constructed through the introduction of cutting planes that are derived using one solution of an LP, then filtered based on an alternative solution to the LP. The LP relaxation is constructed, and its alternate solution is derived, to efficiently converge to a solution for the MIP. | 06-02-2011 |
| 20110131168 | RECOMMENDATION INFORMATION EVALUATION APPARATUS AND RECOMMENDATION INFORMATION EVALUATION METHOD - A content evaluation apparatus and a content evaluation method that can distribute contents that a user potentially needs without any omissions. A history class separation unit generates a separation plane for separating in a separation plane a characteristic vector of a selected content and characteristic vectors of non-selected contents stored in a browsing history table. A user characteristic vector calculation unit generates a user characteristic vector based on an orthogonal vector perpendicular to the separation plane thus generated and stores the user characteristic vector in a user characteristic vector management table. Subsequently, when a recommendation request receiving unit receives a recommendation request, a content evaluation unit evaluates the contents based on the stored user characteristic vector. | 06-02-2011 |
| 20110145182 | ADAPTIVE CONTENT INSPECTION - Methods and apparatus are provided involving adaptive content inspection. In one embodiment, a content inspection processor may identify information with respect to input data and provide the information to a host controller. The host controller may adapt search criteria or other parameters and provide the adapted parameter to the content inspection processor. Other embodiments may include a content inspection processor having integrated feedback, such that results data is fed back to the content inspection processor. The results data may be processed before being provided to the content inspection processor. | 06-16-2011 |
| 20110145183 | PREDICTOR OF THE PERIOD OF PSYCHOTIC EPISODE IN INDIVIDUAL SCHIZOPHRENICS AND ITS METHOD - A predictor of the period of psychotic episode in individual schizophrenia patients, and its method. It consists of, a data constructor and an incident simulator, which concludes rules from the total incidents of patients' recurrence as well as the historical time data. Then it applies the said rules to predict the following happening time of a recurrence or a stabled situation. | 06-16-2011 |
| 20110153535 | METHOD AND DEVICE FOR PERFORMING A MAINTENANCE FUNCTION - A method for performing a maintenance function of a system under diagnosis includes a step for hierarchical decomposition of the system under diagnosis into sub-systems based on the model of the system and, for each sub-system, steps for determination of a model of the sub-system starting from the model of the system, and allocation of a diagnostic method depending on the processing and memory resources of said sub-system. The method allocated is a first diagnostic method based on the model of the system or a second diagnostic method based on predefined logical relationships. The method further includes calculation of the logical relationships for the sub-systems implementing the second diagnostic method, and the transfer of the logical relationships to the sub-systems implementing the second method and the transfer of the model to the sub-systems implementing the first method. | 06-23-2011 |
| 20110161269 | METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR CONTEXT BASED TAGGING OF DATA - A method for enabling data interpretation includes receiving a plurality of data entries that are indicative of corresponding health care related events, determining an interest level rating for at least some of the data entries based at least in part on context information associated with a respective entity to which each data entry corresponds, and providing for presentation of selected data entries based on interest level rating. A corresponding computer program product and apparatus are also provided. | 06-30-2011 |
| 20110161270 | SYSTEM AND METHOD FOR ANALYZING ELECTRONIC MESSAGE ACTIVITY - Systems and methods for analyzing electronic message activity are disclosed. An example method includes determining a relevancy ranking for each message in a received set of electronic messages, wherein the relevancy ranking indicates whether each message is relevant to a movie, determining an opinion expressed in each message, and computing a prediction of the success of the movie based on the determined opinion for each message. | 06-30-2011 |
| 20110161271 | METHOD AND APPARATUS FOR AN ITINERARY PLANNER - A method and apparatus for providing an itinerary planner is described. The itinerary planner generates itineraries for visiting locations which are personalized to the user's preferences. Unknown conditions are handled by contingency plans that the itinerary planner generates in an anytime manner. The first itineraries are derived in a short time, and as more computation time is allowed, additional itineraries that better suit the preferences of the user are obtained. | 06-30-2011 |
| 20110167029 | METHOD AND DEVICE FOR CLASSIFYING, DISPLAYING AND EXPLORING BIOLOGICAL DATA - The invention provides a method for use in an automated biological liquid analysis machine that measures at least four physical parameters for each cell detected, the method both performing classification, by discrimination and enumeration, into a set of at least three cell classes and also representing them. In this method, the following are stored and executed as required: mathematical transformations for transforming a plurality of n-tuples into m-tuples, m| 07-07-2011 | |
| 20110173147 | FACTORED ENVISIONING FOR DECISION SUPPORT - A system and method provides decision support for planning in an environment where a competition for use of resources exist and events affecting the planning are occurring dynamically. A system model of an actual system is provided. Then in a dynamic factored manner, an envisionment related to at least some aspects of the system model is built. From this envisionment output is generated related to at least some aspects of the system model. Finally, changes are made to the actual system, based on the generated output thereby changing a configuration and/or operation of the actual system. | 07-14-2011 |
| 20110173148 | INTEGRATING INTERVAL CONSTRAINT PROPAGATION WITH NONLINEAR REAL ARITHMETIC - A system and method for deciding the satisfiability of a non-linear real decision problem is disclosed. Linear and non-linear constraints associated with the problem are separated. The feasibility of the linear constraints is determined using a linear solver. The feasibility of the non-linear constraints is determined using a non-linear solver which employs interval constraint propagation. The interval solutions obtained from the non-linear solver are validated using the linear solver. If the solutions cannot be validated, linear constraints are learned to refine a search space associated with the problem. The learned constraints and the non-linear constraints are iteratively solved using the non-linear solver until either a feasible solution is obtained or no solution is possible. | 07-14-2011 |
| 20110178970 | TEMPLATE CLAUSES BASED SAT TECHNIQUES - A CNF formula comprises at least one template clause representing a set of concrete clauses, each associated with a different temporal shift. The template clause is utilized by a SAT solver in determining satisfiability of the CNF formula. The template clause may be utilized to reduce amount of storage resources required for performing the satisfiability analysis. The template clause may in some cases increase feasibility of determining satisfiability. The template clause may in some cases reduce required time to determine satisfiability. The template clause may be utilized in incremental SAT solving to reuse deduced relations between literals that are applicable to additional cycles, such as invariants originating from a transition relation of a model. | 07-21-2011 |
| 20110184899 | METHOD AND SYSTEM FOR GENERATING RECOMMENDATIONS OF CONTENT ITEMS - A recommendation system comprises a recommendation server ( | 07-28-2011 |
| 20110184900 | AFFECTIVE MODEL DEVICE AND METHOD FOR DECIDING THE BEHAVIOR OF AN AFFECTIVE MODEL DEVICE - An affective model device and a method of deciding the behavior of an affective model device are provided. The affective model device has affective components representing trait, attitude, mood, emotion, and the like. The affective model device updates the emotion at regular time intervals or when a stimulus is received, and decides the behavior based on the updated emotion. The emotion may be updated depending on trait, attitude, and mood. | 07-28-2011 |
| 20110191279 | APPARATUS AND METHOD FOR GENERATING CONTEXT-AWARE INFORMATION USING LOCAL SERVICE INFORMATION - A context-aware information obtaining method and apparatus uses local service information. A communication apparatus may receive local service information associated with a location of the communication apparatus. The communication apparatus may interpret the local service information to generate context-aware information of the communication apparatus. | 08-04-2011 |
| 20110213744 | SYSTEMS AND METHODS FOR ASSET CONDITION MONITORING IN ELECTRIC POWER SUBSTATION EQUIPMENT - Certain embodiments of the invention may include systems and methods for asset condition monitoring in electrical power substation equipment. According to an example embodiment of the invention, a method is provided for detecting behavior in electrical substation equipment. The method may include receiving realtime data associated with a plurality of parameters associated with the substation equipment, storing at least a portion of the realtime data over a period of time, wherein the stored data comprises historical data, comparing the realtime and historical data, and generating a report based at least in part on a comparison of the realtime data and historical data. | 09-01-2011 |
| 20110218953 | DESIGN OF SYSTEMS FOR IMPROVED HUMAN INTERACTION - A method for evaluating a human interface of a system for appropriate allocation of design guidance including establishing guidelines for avoiding sensory overload conditions of a human interacting with a system, identifying an event associated with the system producing a potential sensory overload condition, and generating a human interface design recommendation based on the guidelines for modifying an operation of the system to help alleviate the potential sensory overload condition associated with the event. | 09-08-2011 |
| 20110231354 | TRANSPORT MANAGEMENT SYSTEM - A car pooling transport management system ( | 09-22-2011 |
| 20110231355 | INTELLIGENT UBIQUITOUS-CITY MIDDLEWARE APPARATUS AND THE U-CITY SYSTEM HAVING THE SAME - An intelligent U-City middleware apparatus and the U-City adopting the same are disclosed. The intelligent U-City middleware apparatus provides intelligent service based on context-awareness and a variety of intelligent ubiquitous convergence services for the applications of U-City. It is composed of four layers: Common Device Interface Layer, Context-aware Computing Layer, Ubiquitous Core Computing Layer and Common Application Interface Layer. The layers cooperate to give intelligent ubiquitous convergence services and provide the advantages of layered architecture. | 09-22-2011 |
| 20110238607 | GRAPH EMBEDDING TECHNIQUES - Approaches to embedding source graphs into targets graphs in a computing system are disclosed. Such may be advantageously facilitate computation with computing systems that employ one or more analog processors, for example one or more quantum processors. | 09-29-2011 |
| 20110246405 | SYSTEM FOR ANIMAL HEALTH DIAGNOSIS - A diagnosis of the health of an animal is obtained through a combination of computerized data and human interpretation. Data relates to the physical characteristics of the animal, and includes data obtained from a physical inspection of the animal. A blood or other fluid sample is used to obtain a computer generated laboratory analysis. This is reported through an internet network to the clinical pathologist. The clinical pathologist has the data relating to the physical characteristics, and thereby makes a diagnosis of the animal health. A drop-down menu on a computer screen provides supplemental reports to support the diagnosis. This can be enhanced by further input from the pathologist through keyboard entry into the computer to obtain an integrated computer report having the laboratory analysis, supplemental report, and selectively an enhanced report. The integrated report is electronically communicated to a client. | 10-06-2011 |
| 20110246406 | METHOD AND SYSTEM FOR CREATING A PREDICTIVE MODEL FOR TARGETING WEB-PAGE TO A SURFER - A system and a method for creating a predictive model to select an object from a group of objects that can be associated with a requested web-page, wherein a configuration of the requested web-page defines a subgroup of one or more selected objects from the group of objects. Each web-page can include one or more links to be associated with content objects from the group. For each content object presented over a requested web-page, one or more predictive model with relevant predictive factors is processed such that the predicted objective, the probability of success for example, is calculated. A success is defined as a surfer responding to the presented content according to the preferences of the site owner. Each predicted model can be associated with a key-performance indicator (KPI). Further, a predictive model can reflect the number of times the surfer requested the web page during the surfer's visit. | 10-06-2011 |
| 20110251987 | TIME-SHIFTING A CONTENT STREAMING REQUEST - A streaming request from a playback device for media content can be identified. The media content can originate from a unique content source which can be remote from the playback device. The content source can be communicatively linked to the playback device via a public network. Before submitting the request to the unique content source, a non-persisting data store can be queried for the media content. The non-persisting data store can comprise of previously acquired digital media which can be encrypted in a protected manner which remains inaccessible to a user except, when provided responsive to the streaming request. When results of the querying produce a match, the media content from the non-persisting data store can be conveyed to the playback device. When results of the querying do not produce a match, the media content can be requested from the content source and presented to the playback device. | 10-13-2011 |
| 20110251988 | ADAPTIVE IMPLICIT LEARNING FOR RECOMMENDER SYSTEM - The present invention relates to an apparatus, method, and computer program product for controlling a recommender system, wherein user actions on content items are associated to explicit ratings on these content items and translated into a UI features profile, which is subsequently used by a recommender. This recommender rates new items based on user actions on this item and thus creates an implicitly learned rating history. This learning makes the implicit rating or scoring personalized. It can be combined in several ways with an explicitly learned rating history to improve overall performance and/or to mitigate the burden for the user, by having him/her rate less items explicitly. | 10-13-2011 |
| 20110258154 | CONTENT DURATION AND INTERACTION MONITORING TO AUTOMATE PRESENTATION OF MEDIA CONTENT IN A CHANNEL SHARING OF MEDIA CONTENT IN A CHANNEL - Disclosed are a method and system for content duration and interaction monitoring to automate presentation of media content in a channel sharing of media content in a channel. A method of generating a customized video channel comprises algorithmically generating in a computer a parameter based on an action of a web browser. In addition, the method algorithmically determines an association between the parameter and a video content, and updating a list of video content of the customized video channel with the video content. The method may also comprise algorithmically creating an additional parameter based on another action of another web browser, and algorithmically associating the additional parameter with another video content. | 10-20-2011 |
| 20110276528 | INPUT DEVICE, INFORMATION PROCESSING DEVICE, INPUT METHOD, AND PROGRAM - When a detecting unit detects an operation of a key which is not included in a combination predicted by a prediction unit, an input control unit invalidates the operation of the key. Therefore, even if a user wrongly presses a key, the wrong pressing is invalidated, as a result key input intended by the user becomes smooth. | 11-10-2011 |
| 20110289037 | SUGGESTING A TIME FOR LIVE COMMUNICATIONS BASED ON PREVIOUS CONTENT-CONSUMPTION BEHAVIOR - Disclosed is a method for making media consumption more social by suggesting a time when users in a group may engage in live communications while consuming media. First, media-consumption activities of the users in the group are monitored. (For example, the set-top boxes of a cable television system monitor when and what each user watches.) Then, from this and possibly from other information, times when each user will be available for live communications are predicted. Finally, the individual predictions are correlated and, if possible, a future time is suggested when at least some of the users in the group will be available for live communications. Some embodiments use other information, such as electronic calendars, to predict when users may be available. The suggested time may be shown on an electronic program guide for a user watching television and may be added to each user's electronic calendar. | 11-24-2011 |
| 20110295785 | MOBILE E-LEARNING METHOD AND APPARATUS BASED ON MEDIA ADAPTED LEARNING OBJECTS - A method, apparatus and system of a mobile e-learning method and apparatus based on media adapted learning objects are disclosed. In one embodiment, a method includes processing an e-learning course based on a set of executable files and a number of auxiliary files associated with the set of executable files to install the e-learning course to a mobile device with an application program selectively replicating a subset of the set of executable files and the number of auxiliary files to the mobile device presenting the subset of the set of executable files and the number of auxiliary files of the mobile device in a particular sequence when processing a signal data associated with a menu of the e learning course and analyzing an assessment result data based on the subset of the set of files to communicate the assessment result data to a repository of a content management system. | 12-01-2011 |
| 20110295786 | BELIEF PROPAGATION PROCESSOR - A processor includes a first memory module for storing a first set of storage values each representing a respective input, and a second memory module for storing a second set of storage values in analog form. An analog module is coupled to the first and the second memory modules. The analog module is configured to, in each operation cycle of at least one iteration, update at least some of the second set of storage values based on the first and the second sets of storage values. An output module is for generating a set of outputs from at least some of the second set of storage values. | 12-01-2011 |
| 20110295787 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - Disclosed herein is an information processing apparatus including an evaluation information extraction section configured to extract evaluation information including an object targeted to be evaluated and an evaluation of the object targeted to be evaluated from a linguistic expression given as information expressed linguistically by a user of interest; an identification section configured to identify whether the evaluation information is of a first type regarding content or of a second type regarding another user; and an evaluation prediction section configured to predict the evaluation by the user of interest regarding the content, based on the evaluation information of the first type given by the user of interest and on the evaluation information given by the other user in the evaluation information of the second type given by the user of interest. | 12-01-2011 |
| 20110302121 | Environment-Responsive People Matching System and Method - An environment-responsive people matching system and method matches people in accordance with inferences of mutual interests based, at least in part, on environmental conditions local to the people being matched. Other behavioral information, proximity, and mobility inferences may also influence the matching. Relationships with varying degree of affinity between matched people may be generated in accordance with the inferences. Explanations for the suggested matches may be delivered to the matched people. | 12-08-2011 |
| 20110307435 | EXTRACTING STRUCTURED KNOWLEDGE FROM UNSTRUCTURED TEXT - Embodiments of the present invention relate to knowledge representation systems which include a knowledge base in which knowledge is represented in a structured, machine-readable format that encodes meaning. Techniques for extracting structured knowledge from unstructured text and for determining the reliability of such extracted knowledge are also described. | 12-15-2011 |
| 20120005142 | FAST ADAPTATION IN REAL-TIME SYSTEMS - According to one embodiment of the present invention, a method for online convex optimization is provided. The method includes performing a step that relies on the selection of x at a time t (x | 01-05-2012 |
| 20120005143 | Model and algorithm for automated item generator of the graphic intelligence test - A model for automated item generator of the graphic intelligence test solves the tremendous time consuming problem for manually devising the graph intelligence item. At the same time, the invention can automated generate more complicated, more transformations and better layout graph for intelligence test, which are hard to predict. The model utilizes the 12 branch tree as the expressing pattern of matrix graph item, and 8 branch trees as the expressing pattern of series graph item. The automated generating item methods have been presented, and the difficulty of the item has also been validated with the similarity of the optional answers and difficulties of the rules and complexity of the sub-graph. The best feature of the model is that a big amount of the graph item for intelligence test can be generated at one time by the computer, instead of manually devising the matrix graph or series graph for intelligence test. With the model, the online intelligence test platform can update the test database automatically, thus the intelligence and the ability of the examinee can be evaluated breaking through the barrier of the language, culture and education background. | 01-05-2012 |
| 20120016830 | INSTANTIATING AN INFORMATION TECHNOLOGY SERVICE IN LIGHT OF MAINTENANCE REQUIREMENTS - In a method of instantiating an information technology (IT) service in light of maintenance requirements, maintenance window instances are determined. The maintenance instance windows are associated with reusable service instances available in a datacenter. The maintenance window instances are analyzed in conjunction with a service model of said IT service to determine a maintenance efficient binding of a selection of said reusable service instances with which to provide an instance of said IT service. | 01-19-2012 |
| 20120023054 | Device and Method for Creating a Process Model - A method and device for creating a process model, wherein the process model has great expressive power and is intuitively understandable for a human user and is processable by a machine. Creation of the process model is performed by providing a concrete process model, a process meta model, and a mapping of concrete process steps to abstract process steps of the process meta model. It is particularly advantageous that the defined process meta model can be reused in relation to further domain-specific, concrete process models. Accordingly, step-for-step instructions can be semantically enriched, structured, and processed. | 01-26-2012 |
| 20120030159 | Recommender Systems and Methods - A system and method of providing personalized item recommendations in a communication system comprising a server and a plurality of client devices. At the server, a plurality of user rating vectors are received from a plurality of client devices and aggregated into a rating matrix that is factorized into a user feature matrix and an item feature matrix, with the product of the user feature and item feature matrixes approximating the user rating matrix. The factorization comprises the steps of the ALS1 or the IALS1 algorithm including: initializing the user feature matrix and the item feature matrix with predefined initial values; alternately optimizing the user feature matrix and the item feature matrix until a termination condition is met. The item feature matrix is transmitted from the server to at least one client device, and a predictive rating vector is generated as the product of the associated user feature vector and the item feature matrix. At least one item is selected for recommendation to a user from the items associated with the predictive rating vector. | 02-02-2012 |
| 20120041916 | METHOD AND DEVICE FOR SUPERVISING THE TREATMENT OF A CROP - A method for supervising the treatment of a crop combines a field record, models of plants, diseases or insects and active substances coupled together, and includes, at least once, the following steps:
| 02-16-2012 |
| 20120041917 | METHODS AND SYSTEMS FOR ADAPTING A USER ENVIRONMENT - A method of adapting an environment of a terminal ( | 02-16-2012 |
| 20120047100 | METHOD FOR PRODUCING AT LEAST ONE APPLICATION DESCRIPTION - An application description is generated with a plurality of application blocks. First, at least one basic document is read in and analyzed. During the analysis of the basic document, a knowledge base is constructed with knowledge elements, wherein the knowledge elements recognized are at least one data field and/or at least one component, and the knowledge elements are preferably at least to some extent flagged as assumptions. Then, at least one conflict-free knowledge partition is determined, where the at least one knowledge partition has a respective set of conflict-free assumptions. The at least one application description is produced from the at least one knowledge partition with the application blocks. | 02-23-2012 |
| 20120059782 | SYSTEM AND METHOD FOR SOLVING QUADRATIC PROGRAMMING PROBLEMS WITH BOUND CONSTRAINTS UTILIZING A SEMI-EXPLICIT QUADRATIC PROGRAMMING SOLVER - A system and method for solving a quadratic programming optimization problem with bound constraints using a semi-explicit QP solver with respect to an embedded platform is presented. A linear system of equations associated with a matrix (e.g., a Karush-Kuhn-Tucker matrix, KKT system) can be solved at each iteration of the solver based on a factorization approach. A set of partial factors with respect to the QP problem can be pre-computed off-line and stored into a memory. The factorization process of the KKT matrix can then be finished on-line in each iteration of the semi-explicit QP solver in order to effectively solve the QP optimization problems. The QP problem can be solved utilizing a standard active-set approach and/or a partial explicit approach based on a processor utilization and memory usage. | 03-08-2012 |
| 20120059783 | MINIMIZING LATENCY IN NETWORK PROGRAM THROUGH TRANSFER OF AUTHORITY OVER PROGRAM ASSETS - Authority over an artificial intelligence (AI) asset can be controlled among two or more processing devices running a common program over a network using a technique in which authority can be transferred. A first processing device can exercise authority over the AI asset by executing code that controls one or more actions of the AI asset according to a decision tree. The decision tree can determine whether to engage the program asset based on criteria other than a distance between the AI asset and the program asset. The first processing device can broadcast a state of the AI asset to one or more other devices running the program. If the decision tree determines that the AI asset should engage a program asset over which another processing device has authority the first processing device can relinquish authority over the AI asset and transfer authority to the other device. | 03-08-2012 |
| 20120066165 | TRACEROUTE DIAGNOSIS - A set of data obtained from a plurality of traceroutes is received in a computer. A set of variables indicating characteristics of the traceroutes is generated. The variables are used as input to a decision tree, the decision tree being configured to recursively partition the variables into groups according to respective round-trip times associated with the groups. Output is obtained from the decision tree reflecting an association of one or more network elements with a round-trip time. | 03-15-2012 |
| 20120072385 | TECHNIQUE FOR SOLVING OPTIMIZATION PROBLEM - A method for solving an optimization problem includes: causing a cylindrical algebraic decomposition (CAD) processing unit to carry out a projection processing for a first expression that appears in a quantifier elimination problem equivalent to the optimization problem including objective functions and to generate second expressions that are projection factors of the first expression; calculating plural sets of values of the objective functions by generating plural value sets of variables in the objective functions and substituting the generated plural value sets of the variables into the objective functions; extracting points including non-dominated solutions in a space mapped by the objective functions, from plural points corresponding to the plural sets of values; calculating, for each second expression, an evaluation value concerning a distance between a corresponding second expression and each of the extracted points; and identifying a second expression whose evaluation value is minimum. | 03-22-2012 |
| 20120078830 | PEER-DERIVED MEDIA RECOMMENDER - Peer-to-peer media item recommendations are provided by presenting a selected list of media items to a first user to consider for recommendation to a friend, receiving an indication from the first user that one or more of the presented media items are to be recommended to the friend, and presenting the one or more indicated media items to the friend. The presented list comprises media items the friend hasn't rated, and is selected using a media recommendation engine. | 03-29-2012 |
| 20120078831 | BREAST IMPLANT SURGICAL DECISION SUPPORT SYSTEM AND METHOD - Computer-assisted planning of breast implant surgery apparatus and methods are provided which generally include an anatomical input module configured to receive anatomical information indicative of pre-implant anatomical properties of a patient's breast, a preference module configured to receive preference information indicative of a desired post-implant anatomical property of a patent's breast, a tissue expander selection module configured to receive the anatomical and the preference information, and, based at least in part on the anatomical and preference information, to output recommended expander information indicating at least one tissue expander from an available plurality of tissue expanders, and an implant selection module configured to receive the anatomical and the preference information, and, based at least in part on the anatomical and preference information, to output recommended implant recommendation information indicating at least one implant from an available plurality of implants. | 03-29-2012 |
| 20120084242 | COUPLING OF RATIONAL AGENTS TO QUANTUM PROCESSES - The present invention provides devices, methods, and systems for coupling a rational agent to a quantum process. In particular, the present invention provides rational agents configured to influence a quantum process, or to derive information from a quantum process, and methods and uses thereof. | 04-05-2012 |
| 20120089548 | METHOD FOR SUPPORTING MIGRATION DESTINATION DECISION AND MANAGEMENT SYSTEM - Each time data is migrated, a management system stores information denoting a migration history related to the migration of the data, in history management information. The management system receives an input of an administrator-desired attribute condition combination for a migration-destination storage device, identifies all device attribute combinations conforming to this attribute condition combination, and calculates multiple migration trends based on each device attribute combination and the history management information. The management system identifies, from among the multiple migration trends, a migration trend to which a specified migration-source storage device belongs, and displays information denoting at least this identified migration trend. | 04-12-2012 |
| 20120095947 | VECTOR CLASSIFIER AND VECTOR CLASSIFICATION METHOD THEREOF - Provided is a vector classifier and a vector classification method. The vector classifier includes a vector compressor configured to compress an input vector; a support vector storage unit configured to store a compressed support vector; and a support vector machine operation unit configured to receive the compressed input vector and the compressed support vector and perform an arithmetic operation according to a classification determining equation. | 04-19-2012 |
| 20120095948 | COHORT-BASED PREDICTION OF A FUTURE EVENT - A processor-implemented method, computer program product, and/or computer system predicts a future event. A first bit array, which describes characteristics of a single entity while experiencing a first event, is generated using values received from a set of physical test devices. After the first single entity experiences a different second event, a second bit array is generated from another set of physical test devices. The second bit array describes characteristics of an event cohort, which is made up of entities, other than the single entity, which also experience the second event, but which never experienced the first event. When another single entity experiences the first event, a determination is made as to whether that other single entity has characteristics from both the first bit array and the second bit array. If so, a prediction is made that the other single entity will also experience the second event. | 04-19-2012 |
| 20120101971 | STAGE EVALUATON OF A STATE MACHINE - The present invention provides a method and system for stage evaluation of a state machine model. Two types of transitions are used: first-stage transitions and second-stage transitions for a two-stage evaluation. In one embodiment, top-down processing and bottom-up processing may be combined using a two-stage evaluation. First-stage transitions are used with top-down processing while second-stage transitions are used with bottom-up processing. Certain conditions are used to determine if a switch from one type of stage processing to another type of stage processing is needed. | 04-26-2012 |
| 20120109868 | Real-Time Adaptive Output - The subject disclosure relates to a technology by which output data in the form of audio, visual, haptic, and/or other output is automatically selected and tailored by a system, including adapting in real time, to address one or more users' specific needs, context and implicit/explicit intent. State data and preference data are input into a real time adaptive output system that uses the data to select among output modalities, e.g., to change output mechanisms, add/remove output mechanisms, and/or change rendering characteristics. The output may be rendered on one or more output mechanisms to a single user or multiple users, including via a remote output mechanism. | 05-03-2012 |
| 20120123986 | SYSTEMS AND METHODS FOR MODELING AND ANALYZING SOLUTION REQUIREMENTS AND ASSETS - Systems and associated methods for capturing and storing asset analysis details are described. Systems and methods provide for building a model of the particular asset requirement for a specific purpose and a model of the range of capabilities that a particular asset can provide. The mapping of these two models allows for the identification of the best asset for a particular solution requirement. An asset match may occur when an asset capability model whose functional and non-functional capabilities subsume the functional and non-functional requirements specified in the asset requirements model. | 05-17-2012 |
| 20120123987 | SYSTEMS AND METHODS FOR DYNAMICALLY RECONFIGURING PREDICTIVE ANALYTICS WITHIN WORKFLOWS USING SELECTIVE USER FEEDBACK - Methods and arrangements for managing and enhancing workflow. A work item is accepted and the is routed from a first node to a second node based on a predictive analytics model. The predictive analytics model is validated, and is reconfigured responsive to the validating. | 05-17-2012 |
| 20120123988 | APPARATUS AND METHOD FOR GENERATING A CONTEXT-AWARE INFORMATION MODEL FOR CONTEXT INFERENCE - An apparatus and method for generating a context-aware information model are provided. A context-aware information model generation apparatus may generate a final model using at least one candidate context-aware information model that is determined based on sensor information. Additionally, the context-aware information model generation apparatus may infer a context of a user based on the generated final model. | 05-17-2012 |
| 20120130931 | BOOTSTRAPPING RECOMMENDER SYSTEM AND METHOD - Bootstrapping a recommender system that makes item recommendations. The bootstrapping identifying questions for use in interviewing a user, e.g., a new user to the recommender system, to obtain user information, e.g., user profile information, for use in predicting item ratings for the user, the predicted item ratings for use in identifying item recommendations for the user. The bootstrapping using a cost function to minimize error in selection of the questions for the interview. The bootstrapping comprising a static bootstrapping and an adaptive bootstrapping. | 05-24-2012 |
| 20120130932 | SYMBOLIC FINITE AUTOMATA - Described are symbolic finite automata for symbolically expressing and analyzing regular expression constraints, such as for use in program analysis and testing. A regular expression or pattern is transformed into a symbolic finite automaton having transitions that are labeled by formulas that denote sets of characters (rather than individual characters). Also described is composing two or more symbolic finite automata into a resulting symbolic finite automaton that is fully satisfiable. A constraint solver may be used to ensure satisfiability. | 05-24-2012 |
| 20120130933 | METHOD AND SYSTEM FOR SUPPORTING TO MAKE INVENTION - Method and system for making an invention are disclosed. Invention spaces are provided to support one to make pioneer-type or improvement inventions. An imaginary invention space is formed based on two circles disposed at both ends of an axis respectively. Each of the circles is determined by the number of indispensable constituent elements of inventions relating to a product. The method according to the invention comprises step for determining a first construction of a product having a plurality of indispensable elements, step for determining a second construction of a product having at least one element of the plurality of the indispensable elements, and step for determining a third construction of a product having the at least one element of the indispensable elements for the second construction and at least one new element not included in the plurality of indispensable elements. | 05-24-2012 |
| 20120130934 | SMART SURVEY WITH PROGRESSIVE DISCOVERY - Embodiments of the invention collect data or information from a dynamic and adaptive target group selection. Sets of experts are selected that each have higher value metrics scores relative to scores of other, unselected experts of a population of known experts, and wherein the metric values are indicative of an expertise relevant to one or more questions in a survey. Responses to the survey are used to expand the set of experts by adding experts noted in answer referrals, and to automatically update the expert value metric scores as a function of response timeliness and of degrees of correlation of answers to an expected answer or other norm. The survey is updated by removing satisfied questions, and expert selections, answers analysis and survey updating and resending steps are iteratively repeated until each question is satisfied, wherein the expert sets are dynamically revised for each iteration. | 05-24-2012 |
| 20120143807 | Facts Screening and Transforming Processor - Be TT.p the “technique teaching” of a patent or venture and RS a “reference set” of prior art technique teachings TT.i, any element of any TT described by attributes. Then the FSTP (semi)automatically determines their “technical secondary structured fact, ”,
| 06-07-2012 |
| 20120143808 | APPARATUS, SYSTEM, AND METHOD FOR OBJECT DETECTION AND IDENTIFICATION - An apparatus, system, and method are disclosed for identifying a target object. An object detection module detects objects by matching data from one or more sensors to known data of a target object and determining one or more correlation metrics for each object. An object tracking module tracks geographic locations for detected objects over time using subsequent data from the one or more sensors. A contextual data module determines one or more contextual indicators for detected objects based on the data from the one or more sensors. An artificial intelligence module estimates probabilities that detected objects comprise the target object based on the correlation metrics, the geographic locations, the contextual indicators, and one or more target contextual indicators associated with the target object. The artificial intelligence module estimates the probabilities using an artificial intelligence model, such as a Bayesian network. | 06-07-2012 |
| 20120150783 | Disaster Analysis and Decision System - A disaster analysis and decision system comprises a geographic area module that comprises geographic data for a given geographic area; an artificial facilities module that comprises artificial facilities data positioned in the geographic area; a disaster control facilities module that comprises disaster control facilities data for the geographic area; an environmental variable module that receives and stores environmental variables that affects the geographic area; an analysis module that analyzes how the environmental variables affect the geographic area, the artificial facilities within the geographic area and the disaster control facilities for the geographic area, and decides how to control the disaster control facilities; a report module that provides reports for the analysis; and a database that stores data from other modules. | 06-14-2012 |
| 20120150784 | Immersive Planning of Events Including Vacations - The subject disclosure is directed towards a web service or the like that assists users in generating a plan, such as a vacation plan. In one aspect, a user chooses a model that generates a plan, including by selecting content objects (e.g., found by searching) corresponding to plan objects. Selection is based upon user input, along with rules, constraints and/or equations associated with the model. A presentation mechanism produces a presentation (e.g., an audiovisual experience) from the content/plan objects, such as a linear narrative, a timeline, a schedule, a calendar, a gallery, a list, and/or a map. The plan may be annotated with annotation data. The plan may be interacted with to re-plan it, and may be saved and/or provided to another user for viewing and/or re-planning. Plan versions may be compared to see the changes made. | 06-14-2012 |
| 20120150785 | ADDRESSING SYSTEM DEGRADATION BY APPLICATION DISABLING - In some embodiments, a routine is executed that identifies one or more applications that consume resources of the computer without a benefit that justifies such consumption, with the routine comprising evaluating at least some data from a source external to the computer, and an ability of the one or more identified applications to start on the computer absent user input requesting or authorizing use of such an application is disabled. In some embodiments, the external source of data may, for example, comprise a remote database identifying potentially undesirable applications and/or a remote software reputation service. In some embodiments, a routine is executed that identifies one or more applications that consume resources of the computer without a benefit that justifies such consumption and that also identifies one or more resources or utilities that utilize the one or more applications. An ability of the one or more identified applications to start on the computer absent user input requesting or authorizing use of such an application is disabled, and an ability of the one or more resources or utilities to attempt to utilize the one or more applications absent user input requesting or authorizing such an attempt is also disabled. | 06-14-2012 |
| 20120150786 | MULTIDIMENSIONAL RISK-BASED DETECTION - A computerized method detects suspicious and fraudulent activities in a group of subjects by defining and dynamically integrating multidimensional risks into a mathematical model. A subset of multidimensional risk-weighted detection algorithms are selected so that suspicious or fraudulent activities in the group of subjects can be effectively detected with higher resolution and accuracy. A priority sequence is produced to determine the priority of each detected case during the investigation process. Any set of multidimensional risks identifies a group of subjects that contain this set of multidimensional risks so that group statistics can be obtained for comparison and other analytical purposes. The detection results may adjust the definitions of the multidimensional risks, the mathematical model, and the multidimensional risk-weighted detection algorithms. | 06-14-2012 |
| 20120158633 | Knowledge graph based search system - Methods, computer program products and systems for developing and implementing a Knowledge Based Search System for an entity. Entity related data are analyzed as required to develop an entity knowledge and one or more knowledge graphs. The knowledge graphs are used to support the retrieval of relevant search results. | 06-21-2012 |
| 20120158634 | ARTIFICIAL INTELLIGENCE SYSTEM - An artificial intelligence system and method for interpreting input from a user and generating a response to the user. The input is converted into an array of concepts which are compared to a database of interrelated concepts. A response is generated based on the concepts in the database and their relationship to the concepts in the input array. The system and method may be implemented in a number of electronic or computer devices to interact with humans or computer systems. | 06-21-2012 |
| 20120173472 | SIMILARITY MATCHING OF A COMPETITOR'S PRODUCTS - In embodiments of the present invention improved capabilities are described for identifying a classification scheme associated with product attributes of a grouping of products of an entity, receiving a record of data relating to an item of a competitor to the entity, the classification of which is uncertain, receiving a dictionary of attributes associated with products, and assigning a product code to the item, based on probabilistic matching among the attributes in the classification scheme, the attributes in the dictionary of attributes and at least one known attribute of the item. | 07-05-2012 |
| 20120179638 | RELATIVE VARIABLE SELECTION SYSTEM AND SELECTION METHOD THEREOF - The present invention discloses a relative variable selection system and a selection method thereof. In the present invention, the receiving module receives a plurality of variables. Based on a correlation coefficient of variables, a first selection module sequentially selects variables with a correlation coefficient greater than a first threshold value. Based on the variables selected by the first selection module, a first calculating module selects a regression value and a weighted value corresponding to the foregoing variables. Based on the weighted values, a second selection module sequentially selects variables with a weighted value smaller than a second threshold value. Based on the variables selected by the second selection module, a second calculating module calculates analyzed values of the foregoing variables. Based on the analyzed values of the variables, a third selection module selects analyzed values which are greater than the target value. | 07-12-2012 |
| 20120191636 | Smarter Business Intelligence Systems - An embodiment of the invention provides a method and system for analyzing a plurality of reports. More specifically, a change detection module predicts results of future reports based on past reports and identifies a first report that deviates from its predicted results. A dependency analysis module connected to the change detection module at least one report sharing a dependency with the first report by performing a dependency analysis and/or a usage analysis. The dependency analysis labels the first report and at least one second report as sharing a dependency if the second report deviates from its predicted results. The usage analysis labeling the first report and at least one report analyzed by an analyst as sharing a dependency if the report analyzed by the analyst is analyzed in response to the identification of the first report. | 07-26-2012 |
| 20120197832 | COLLABORATIVE SYSTEM FOR CAPTURE AND REUSE OF SOFTWARE APPLICATION KNOWLEDGE AND A METHOD OF REALIZING SAME - A method and system for generating an information template from a domain ontology, where the information template is specific to a content management system (CMS). After a domain ontology specification is received, a platform independent model (PIM) is generated that includes elements that represent knowledge in the CMS. The PIM is converted to a platform specific model (PSM) that is based on the CMS. The information template specific to the CMS is generated based on the PSM. A result of generating the information template is a documentation of content for the CMS in a format specified by the information template. An existing CMS is reverse engineered to interoperable forms by retrieving content of the information template in the existing CMS, transforming the content to the PIM, and transforming the PIM to a domain ontology model. | 08-02-2012 |
| 20120203724 | DECISION SUPPORT SYSTEM OPTIMIZER FOR A REAL-TIME COMMAND CENTER - A decision support for real time command center, in one aspect, classifies, using a decision tree, an observed network state of a network into at least one category. A meta-model associated with the classified at least one category may be selected from a plurality of meta-models, the plurality of meta-models having been calibrated using results of simulations of a plurality of scenarios occurring in the network. One or more action plans may be evaluated by running the selected meta-model with data of the observed network state. One or more recommended action plans may be generated for the real time command center, based on the evaluation. Actual network state data resulting from having applied the one or more recommended action plans may be evaluated and used to recalibrate the meta-model and/or the decision tree. | 08-09-2012 |
| 20120203725 | AGGREGATION OF BIO-SIGNALS FROM MULTIPLE INDIVIDUALS TO ACHIEVE A COLLECTIVE OUTCOME - Systems and methods for generating results of observations of signals acquired from by groups, including humans, animals, living matter in vitro and machines as members of a group. In some embodiments, the signals are EEG, EMG, EOG or other signals from a biologically active source. The signals are categorized by various criteria, and can be quantified. The categorized signals are combined to produce a result. The result can be displayed to a user, recorded, fed back to one or more signal sources, or used in further information processing. | 08-09-2012 |
| 20120203726 | INFORMATION SYSTEMS AND METHODS FOR DEPLOYMENT OF CHARGING INFRASTRUCTURE IN SUPPORT OF ELECTRIC VEHICLES - Certain examples provide systems and methods to identify placement for an electric charging station infrastructure. Certain examples provide systems and methods to generate a deployment plan for one or more electric vehicle charging stations. An example method includes gathering data for a specified geographic area and forecasting a demand for electric vehicles for the specified area. The example method includes modeling driving patterns in the specified area using available data and improving a charging infrastructure model based on the driving pattern and demand forecast information for the specified area. The example method includes generating and providing a recommendation regarding an electric vehicle charging infrastructure and deployment strategy for the specified area based on the improved charging infrastructure model. | 08-09-2012 |
| 20120221502 | APPARATUSES, METHODS AND SYSTEMS FOR A DIGITAL CONVERSATION MANAGEMENT PLATFORM - The APPARATUSES, METHODS AND SYSTEMS FOR A DIGITAL CONVERSATION MANAGEMENT PLATFORM (“DCM-Platform”) transforms digital dialogue from consumers, client demands and, Internet search inputs via DCM-Platform components into tradable digital assets, and client needs based artificial intelligence campaign plan outputs. In one implementation, The DCM-Platform may capture and examine conversations between individuals and artificial intelligence conversation agents. These agents may be viewed as assets. One can measure the value and performance of these agents by assessing their performance and ability to generate revenue from prolonging conversations and/or ability to effect sales through conversations with individuals. | 08-30-2012 |
| 20120226645 | Predicting the Performance of a Financial Instrument - Systems and methods are disclosed for predicting the performance of a financial instrument by extracting influential features and emotional sentiment data from received data values, common features, and internet sources, each corresponding to a financial instrument, building multiple predictive models using random selections of the data values and combining the predictive models to create a combined prediction model. The combined prediction model provides a combined predicted data value where the combined predicted data value is a performance indicator, such as a classification count or percentage, of data values that correspond to the financial instrument and classify correctly via the prediction models. Further, the combined prediction model may be iterated over new or test data values to constantly select the most influential common features to build new prediction models and a resulting new combined prediction model for reducing a classification predictive error and updating the combined predicted data value. | 09-06-2012 |
| 20120226646 | METHOD AND APPARATUS FOR CERTIFICATION OF FACTS - A method and apparatus for certification of facts introduces a certifier and a fact certificate into the fact-exchange cycle that enables parties to exchange trustworthy facts. Certification is provided to a fact presenter during the first part of the fact-exchange cycle, and verification is provided to the fact receiver during the last part of the cycle. To request a certification, a fact presenter presents the Certifier with a fact. In return, the certifier issues a fact certificate, after which the fact presenter presents the fact certificate to the fact receiver instead of presenting the fact itself. The receiver inspects the received certificate in order to evaluate the fact's validity and trustworthiness. For some facts and notions of verification, the certificate is sufficient and its inspection does not require any communication. For others, the receiver requests a verification service from the Certifier in order to complete the verification. | 09-06-2012 |
| 20120233105 | SIMULATION SYSTEM - A simulation system is proposed that makes use of historical and live data sensed for one or more objects (e.g., people, cars, balls, rackets, etc.). An event will include one or more decision points. A choice of an action to take at a decision point is made. That chosen action will be simulated based on the historical and live data. The simulation can be compared to the actual action taken in the event as a way to judge the choice. Although the choice of action to take at the decision point is simulated, the real event is not altered by the choice. | 09-13-2012 |
| 20120233106 | SYSTEM FOR DATA ARCHIVING AND SYSTEM BEHAVIOR PREDICTION - An electronic data analysis, storage, and retrievable system includes a verification capability for verifying the integrity of the system's operational health. An operation monitoring mechanism continuously monitors the system's operation. A collection mechanism contains relevant system data. The system further includes a storage ability for archiving system data. A media verification mechanism verifies the integrity and authenticity of storage media. Finally, a data analysis mechanism analyzes and compares archived system information. | 09-13-2012 |
| 20120239604 | COLLABORATIVE FILTERING SYSTEM AND COLLABORATIVE FILTERING METHOD - When there are no evaluation values from a user who has evaluated both contents X and Z, an indirect similarity calculation unit | 09-20-2012 |
| 20120246104 | SENTIMENT CALCULUS FOR A METHOD AND SYSTEM USING SOCIAL MEDIA FOR EVENT-DRIVEN TRADING - A sentiment calculator uses social media messages for the real-time evaluation of publicly assets, in particular traded equities and commodities wherein a sentiment is an integer computed based upon pairs of lexical items in local syntactic context. The sentiment calculator includes a mechanism for determining polarity in social media messages and a mechanism for determining a strength value of lexical items used in social media messages. | 09-27-2012 |
| 20120254088 | MODEL-DRIVEN EVENT DETECTION, IMPLICATION, AND REPORTING SYSTEM - An event analysis system monitors information available from both publicly and privately distributed networks of information for events that are relevant to the user's particular business concerns. Those concerns are defined in a customized model of the user's organization and external business environment. The system receives the information, detects events in the information, interprets the events, and determines implications of these events. The detection and implication proceeds with regard to specific entities, relationships between entities, and definitions of the types of events which may occur in the environment in which the entities exist. Accordingly, the analysis system intelligently adapts its processing to recognize and report events which may be of interest for any particular entity. | 10-04-2012 |
| 20120259805 | INFORMATION ESTIMATION DEVICE, INFORMATION ESTIMATION METHOD, AND COMPUTER-READABLE STORAGE MEDIUM - Disclosed is an information estimation device for estimating an appropriate issue time from a time representation described in a document without intervention of any operator; wherein an information estimation device ( | 10-11-2012 |
| 20120265721 | CASE ACQUISITION FOR INCREMENTAL CASE-BASED REASONING SYSTEM - A method and system are presented that simplify acquisition of cases for an incremental Case-Based Reasoning system. Case acquisition closely follows the normal problem-solving process and cases are automatically created in a form suitable for the CBR runtime. The method and system rely on the fact that the CBR runtime is already capable of taking the input data and constructing a case in a form that corresponds to the library cases. The problem-solving mode is transformed into the case-acquisition mode by replacing the ‘choose next action’ step in the incremental CBR algorithm by a step that generates a set of all applicable actions given the current content of the session case and the model. From these the user can choose an action that corresponds to an action from the real-world case description. This is repeated as part of the incremental CBR loop until a full case has been acquired. | 10-18-2012 |
| 20120271785 | ADJUSTING A CONSUMER EXPERIENCE BASED ON A 3D CAPTURED IMAGE STREAM OF A CONSUMER RESPONSE - A survey controller receives response records from response processing systems, wherein the response records comprise a selection of response records each identifying a separate response of at least one consumer to a particular stimulus within a consumer environment detected from a three-dimensional movement of the at least one consumer captured within the consumer environment. The survey controller stores response records in a response database. The survey controller calculates, from the selection of response records stored in the response database, statistics associated with the particular stimulus within the consumer environment. The survey controller stores, by the survey controller, the calculated statistics. | 10-25-2012 |
| 20120278267 | METHODS AND ARRANGEMENTS FOR DYNAMICALLY GENERATING ESTIMATION TRENDLINES - Methods and arrangements for dynamic trendline generation. Input data are assimilated at a capture timepoint from an estimation tool. The input data are filtered, and an estimation-centric map is created from the filtered data ; this creating of a map includes generating an estimation data tree. A trendline is dynamically generated responsive to a request, wherein this generating of a trendline includes applying the estimation data tree to the input data. The dynamically generated trendline is supplied to the estimation tool. | 11-01-2012 |
| 20120278268 | METHOD AND APPARATUS FOR EXTRACTING EXPLICIT PROFILE REPRESENTATION THROUGH ADAPTIVE RECOMMENDER SYSTEM - An approach is provided for providing recommendations based on preloaded models and for generating user profiles to personalize a user experience with a device or service. A recommendation model platform processes at least one latent user model, at least one latent item model, or a combination thereof associated with a device to determine one or more user preference scores with respect to one or more items. The recommendation platform also processes the one or more user preference scores against one or more thresholds values to determine explicit preference information associated with the one or more items. The recommendation platform also generates at least one user profile associated with the device, a user of the device, or a combination thereof based, at least in part, on the explicit preference information. | 11-01-2012 |
| 20120290522 | News Topic-Interest-Based Recommendations Twiddling - A method includes: obtaining first click distribution data for a first subset of a plurality of media items, each of which is associated with one or more item categories, determining from the first click distribution data likelihood of a generic user selecting media items associated with at least a subset of the item categories, obtaining second click distribution data from a particular user for a second subset of the plurality of media items, determining, based on differences between the first and second click distribution data, an adjusted likelihood of the particular user selecting media items associated with the at least a subset of the item categories, and transmitting, based on the adjusted likelihood, to a client device associated with the particular user recommendations related to a third subset of the plurality of media items and respective item categories thereof. | 11-15-2012 |
| 20120303568 | DELIVERING RECOMMENDATIONS BASED ON USER CONTENT PROFILE - In embodiments of the present invention, a request may be received at a web service facility. The request may be received from a handheld device and may include at least one of: at least one of: content details viewed by a user, content lists viewed by the user, bookmarked content stored by the user, content that may be rated by the user, various locations of usage of the handheld device, and handheld device actions. After the request has been received, the web service facility may process the request by an algorithm. Upon processing the request, the web service facility may send a response to the handheld device, wherein the response comprises at least one of: recommendations and predictions. | 11-29-2012 |
| 20120303569 | System, Process and Software Arrangement for Providing Multidimensional Recommendations/Suggestions - A process, system and computer software are provided to facilitate at least one recommendation to one or more users and/or one or more applications using multidimensional data. In particular, a multidimensional space is defined, wherein each dimension is capable of providing variable information. At least one dimension corresponds to user profiles. The multidimensional space is filled with multidimensional data corresponding to dimensions of the multidimensional space. Then, information from the multidimensional space is retrieved. Further, the recommendation is generated based on the retrieved information. In addition, it is possible to generate a recommendation-specific query. This can be performed by generating the recommendation-specific query to access a multidimensional cube and retrieve data stored therein. Then, the recommendation can be issued based on the data retrieved from the multidimensional cube. | 11-29-2012 |
| 20120310872 | SYSTEM AND METHOD FOR EVALUATING DECISION OPPORTUNITIES - A system and method for evaluating various decision opportunities faced by a person, where the person has the opportunity to take different actions over time, where the state of affairs in each time period and the action taken affect the reward or benefits received by the person at that time and the action is likely to affect the state of affairs in the next time period. | 12-06-2012 |
| 20120317064 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing apparatus may include a processor to acquire information associated with behavior of a user and information associated with satisfaction degree of the user, and to analyze an association between the information associated with behavior and the information associated with satisfaction degree | 12-13-2012 |
| 20120317065 | PROGRAMMABLE PROBABILITY PROCESSING - In an aspect, in general, a programmable computation device performs computations of an inference task specified by a plurality of variables and a plurality of factors, each factor being associated with a subset of the variables. The device includes one or more processing elements. Each processing element includes a first storage for a definition of a factor, a second storage for data associated with the inputs and/or outputs of at least some of the computations, and one or more computation units coupled to the first storage and the second storage for performing a succession of parts of the at least some of the computations that are associated with a factor, the succession of parts defined by data in the storage for the definition of the factor. | 12-13-2012 |
| 20120317066 | INTEREST LEVEL MEASUREMENT SYSTEM, INTEREST LEVEL MEASUREMENT DEVICE, INTEREST LEVEL MEASUREMENT METHOD, AND INTEREST LEVEL MEASUREMENT PROGRAM - Data that indicates an action state of a user is acquired by a user terminal. Area stay information that includes position information of an area in which the user stays and stay time information of a time during which the user stays in the area is acquired. The data acquired by the user terminal is stored, and the stored data is read according to the acquired area stay information. A behavior status of the user is determined based on the read data, and a behavior status time-series pattern that indicates the behavior status of the user is created. A behavior feature value that indicates a feature of a behavior of the user is calculated based on the created behavior status time-series pattern. An area interest level that indicates a degree and tendency of the user's interest in the area is determined using the calculated behavior feature value. | 12-13-2012 |
| 20120317067 | EVALUATING RECOMMENDATIONS - Generally described, embodiments of the present disclosure are directed toward the identification of items for inclusion in a recommendations list that may be displayed concurrently with an item selected by a user or users. The recommended items may be items that are of potential interest to the user and/or may be items that are related to the selected item. More specifically, embodiments of the present disclosure provide a method and system for generating one or more recommendations lists, providing those lists to users, evaluating users' interactions with those lists, and modifying the engines or techniques used to identify items that are to be included in the recommendations lists. | 12-13-2012 |
| 20120323834 | MODEL SELECTION DEVICE, MODEL SELECTION METHOD AND MODEL SELECTION PROGRAM - The model selection device comprises a model optimization unit which optimizes a model for a mixed distribution, wherein related to an information criterion of complete data, with respect to a hidden variable post-event distribution of the complete data, the model optimization unit optimizes an expected information criterion of the complete data for a pair of a model and a parameter of a component which satisfies a predetermined condition. | 12-20-2012 |
| 20120323835 | DYNAMICALLY RECONFIGURING PREDICTIVE ANALYTICS WITHIN WORKFLOWS USING SELECTIVE USER FEEDBACK - Methods and arrangements for managing and enhancing workflow. A work item is accepted and the is routed from a first node to a second node based on a predictive analytics model. The predictive analytics model is validated, and is reconfigured responsive to the validating. | 12-20-2012 |
| 20120323836 | Systems and Methods for Detecting and Coordinating Changes in Lexical Items - Systems and methods for efficiently detecting and coordinating step changes, trends, cycles, and bursts affecting lexical items within data streams are provided. Data streams can be sourced from documents that can optionally be labeled with metadata. Changes can be grouped across lexical and/or metavalue vocabularies to summarize the changes that are synchronous in time. The methods described herein can be applied either retrospectively to a corpus of data or in a streaming mode. | 12-20-2012 |
| 20120330874 | APPARATUSES, METHODS AND SYSTEMS FOR A DIGITAL CONVERSATION MANAGEMENT PLATFORM - The APPARATUSES, METHODS AND SYSTEMS FOR A DIGITAL CONVERSATION MANAGEMENT PLATFORM (“DCM-Platform”) transforms digital dialogue from consumers, client demands and, Internet search inputs via DCM-Platform components into tradable digital assets, and client needs based artificial intelligence campaign plan outputs. In one implementation, The DCM-Platform may capture and examine conversations between individuals and artificial intelligence conversation agents. These agents may be viewed as assets. One can measure the value and performance of these agents by assessing their performance and ability to generate revenue from prolonging conversations and/or ability to effect sales through conversations with individuals. | 12-27-2012 |
| 20130006904 | PERSONAL LONG-TERM AGENT FOR PROVIDING MULTIPLE SUPPORTIVE SERVICES - A long-term personal agent program, executable as network service and/or on one or more user computing devices and related method for identifying opportunities and making recommendations on behalf of one or more users, are disclosed herein. In one example, the personal agent program includes a monitoring engine configured to monitor and interpret a user's activities over time with a plurality of sensing and logging methodologies according to user authorization, the use of statistical methods for learning to understand a user's goals and behavioral patterns from data, and the use of procedures for computing the expected value of information guiding sensing and logging in different contexts. The personal agent further may include a recommendation methodology configured to make suggestions and to take actions on behalf of the user, in the present moment as well as for future times, based on inferences about user goals and opportunities in the world. | 01-03-2013 |
| 20130006905 | SYSTEM AND METHOD FOR RECOMMENDING KEYWORD BASED ON INDIRECT SELECTION - A system to recommend a keyword includes a verifying unit to determine whether a keyword is a direct click keyword by referring to a click log and to determine whether the keyword is an indirect click keyword by referring to a third universal resource locator (URL) selected using the direct click keyword, wherein the direct click keyword is a keyword used to select a first URL on a computing device and the indirect click keyword is a keyword used to select a second URL on the computing device; and a keyword recommending unit to recommend the determined indirect click keyword. A method for recommending a keyword includes determining whether a keyword is a direct click keyword by referring to a click log; determining whether the keyword is an indirect click keyword by referring to a third URL selected using the direct click keyword; and recommending the determined indirect click keyword. | 01-03-2013 |
| 20130006906 | Knowledge Transfer in Smart Environments - Activity templates are generated from one or more existing smart environments (e.g., source spaces) based on sensor data from the one or more existing smart environments that corresponds to known activities. A target activity template is then generated for a new smart environment, e.g., the target space. The source space activity templates are then mapped to the target activity templates to enable recognition of activities based on sensor data received from the target space. | 01-03-2013 |
| 20130006907 | DISPLAYING RESOURCES BASED ON SHARED CONTEXTS - A user data engine residing on an endpoint machine generates a current user context reflecting a specific flow of operations performed by an end-user when interacting with a software application. A context engine residing on a sever machine compares the current user context to one or more stored user contexts included in a context database and generates a similarity value based on each comparison. A resource engine identifies resources in a resource database that are associated with the stored user contexts and then generates a relevance score for each resource based on the similarity scores corresponding to the stored user contexts with which those resources are associated. The resource engine transmits a resource list reflecting the identified resources to the user data engine based on the relevance scores. The user data engine displays on a display screen of the endpoint machine information associated with resources reflected in the resource list. | 01-03-2013 |
| 20130006908 | FSTP EXPERT SYSTEM - A computer-implemented method using a computer-based FSTP expert system. The method manages an analysis of a claim in an endeavor p and a technical teaching TT.p underlying the endeavor over at least one document i in a reference set (RS) of documents and the technical teaching TT.i underlying the at least one document. The method comprises receiving at least one Pair of TT.p and the Reference Set (PTR). The user generates at least one anticipation combination (AC) based on the PTR An anticipation deficiency is evaluated for the at least one AC. At least one AC is identified wherein after a minimal number of conceptual modifications the TT.p is anticipated. A numerical semantic height of the TT.p over the RS of documents i is computed based on the number of conceptual modifications identified. A numerical pragmatic height of the TT.p over the RS is computed. | 01-03-2013 |
| 20130006909 | PATTERN-REGOGNITION PROCESSOR WITH MATCHING-DATA REPORTING MODULE - Disclosed are methods and devices, among which is a device that includes a pattern-recognition processor. The pattern-recognition processor may include a matching-data reporting module, which may have a buffer and a match event table. The buffer may be coupled to a data stream and configured to store at least part of the data stream, and the match event table may be configured to store data indicative of a buffer location corresponding with a start of a search criterion being satisfied. | 01-03-2013 |
| 20130013545 | Providing Digital Content Based On Expected User Behavior - In a computing system, information regarding a plurality of events that use a computing device is obtained, and a time-dependant increase in activity for each of at least some of the events is identified. An observed interest by a user in an event is correlated with an identified increase in activity for the event. Information about the activity at a time related to the event is provided for review by the user. | 01-10-2013 |
| 20130013546 | PROVIDING COMMUNITY FOR CUSTOMER QUESTIONS - A system for providing community for customer questions receives a customer question. The customer question may be classified into a classification from a plurality of classifications categorizing whether a question is answerable, needs expert assistance, needs more information, or is not answerable. Based on the classification and one or more incentives, the question may be further routed to an appropriate community. The interactions with a customer in receiving and answering the customer question may be recorded. | 01-10-2013 |
| 20130013547 | EVIDENCE PROFILING - Evidence profiling, in one aspect, may receive a candidate answer and supporting pieces of evidence. An evidence profile may be generated, the evidence profile communicating a degree to which the evidence supports the candidate answer as being correct. The evidence profile may provide dimensions of evidence, and each dimension may support or refute the candidate answer as being correct. | 01-10-2013 |
| 20130018834 | STATE MACHINE RESPONSIVE TO MEDIA SOURCESAANM Dal Lin Junior; Reynaldo AmadeuAACI CuritibaAACO BRAAGP Dal Lin Junior; Reynaldo Amadeu Curitiba BR - A state machine includes inputs configured to receive media signals from multiple media sources; state logic configured to respond to receipt of media signals by the inputs; and outputs configured to output logical states where each of the logical states calls for rendering of media from one of the multiple media sources. Various other examples of devices, assemblies, systems, methods, etc., are also disclosed. | 01-17-2013 |
| 20130018835 | 100GBPS SECURITY AND SEARCH ARCHITECTURE USING PROGRAMMABLE INTELLIGENT SEARCH MEMORY - Programmable Intelligent Search Memory (PRISM) architecture provides capabilities for high performance content search. This architecture creates an innovative memory that can be programmed with content search rules which are used by the memory to evaluate presented content for matching with the programmed rules. When the content being searched matches any of the rules in the PRISM, action(s) associated with the matched rule(s) are taken. Content search rules comprise regular expressions which are converted to finite state automata and then programmed in PRISM for evaluating content with the search rules. PRISM architecture comprises of a plurality of PRISM clusters (PMC) which comprise a plurality of PRISM Search Engines. Groups of PMCs can be programmed with the same rules and used in parallel to apply these rules to multiple data streams simultaneously to achieve increased performance. PMC groups provide 10 Gbps performance with 10 PMC groups enabling 100 Gbps content search and security performance. | 01-17-2013 |
| 20130024411 | Discovery of Vegetation over the Earth (DOVE) - A system, apparatus and method for identifying states or types of individual objects within a class of objects of interest are provided. A supervised algorithm is executed on a set of map data to separate a class of objects of interest from other objects. An unsupervised algorithm is executed to identify different types or states of individual objects within the class of objects of interest identified by the supervised algorithm. The results are then stored on a non-transitory storage medium. | 01-24-2013 |
| 20130024412 | METHODS AND SYSTEMS FOR USING MAP-REDUCE FOR LARGE-SCALE ANALYSIS OF GRAPH-BASED DATA - Embodiments are described for a method for processing graph data by executing a Markov Clustering algorithm (MCL) to find clusters of vertices of the graph data, organizing the graph data by column by calculating a probability percentage for each column of a similarity matrix of the graph data to produce column data, generating a probability matrix of states of the column data, performing an expansion of the probability matrix by computing a power of the matrix using a Map-Reduce model executed in a processor-based computing device; and organizing the probability matrix into a set of sub-matrices to find the least amount of data needed for the Map-Reduce model given that two lines of data in the matrix are required to compute a single value for the power of the matrix. One of at least two strategies may be used to computing the power of the matrix (matrix square, M | 01-24-2013 |
| 20130024413 | NON-INTRUSIVE EVENT-DRIVEN PREDICTION - A method for non-intrusive event-driven prediction of a metric in a data processing environment is provided in the illustrative embodiments. At least one set of events is observed in the data processing environment, the set of events being generated by several processes executing in the data processing environment. A subset of the set of events are tracked for an observation period, the tracking resulting in bookkeeping information about the subset of events. A pattern of events is detected in the bookkeeping information. The pattern is formed as a tuple representing a process in the several processes, the metric corresponding to the process. A prediction model is selected for the tuple. The prediction model is supplied with the tuple and executed to generate a predicted value of the metric. | 01-24-2013 |
| 20130031041 | Forecasting Hotspots using Predictive Visual Analytics Approach - A method for forecasting hotspots is provided. The method may include the steps of receiving input data at an input of the computational device, generating a temporal prediction based on the input data, generating a geospatial prediction based on the input data, and generating output data based on the time series and geospatial predictions. The output data may be configured to display at least one user interface at an output of the computational device. | 01-31-2013 |
| 20130036079 | DETERMINING INVARIANTS IN A MODEL - A method, apparatus and product for determining invariants in a model. One exemplary embodiments is a computer-implemented method performed by a computerized device, comprising: obtaining a set of candidates of invariants with respect to a model, the model comprising a transition relation axiom and an initial axiom; for substantially each candidate, adding to the model a first auxiliary variable, the first auxiliary variable is defined to be implied from the candidate being held in a predetermined cycle; iteratively trying to prove an inductive step with respect to a subset of the candidates, wherein in response to determining that a candidate is not held inductively removing the candidate from the subset of the candidates, wherein determining which candidate is not held inductively is performed based on values of the first auxiliary variables. | 02-07-2013 |
| 20130036080 | Method And Apparatus For A Predictive Tracking Device - A predictive tracking method and apparatus utilizing objective and subjective data in order to predict user states is provided herein. For example, some such embodiments may allow a user to track their mood or health symptoms in relation to retrieved data regarding their environmental in order to reveal patterns that can help forecast and proactively manage mood or health symptoms. | 02-07-2013 |
| 20130036081 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - Provided is a n information processing device including a collection unit configured to collect meta feedback that is feedback on a combination including a content, a user, and feedback on the content of the user, and a prediction unit configured to obtain a predicted acceptance degree that is a prediction value of a degree to which an active user that is a target user accepts a combination including at least one of the content, the user, and the feedback, based on the collected meta feedback. | 02-07-2013 |
| 20130041860 | PREDICTING INFLUENCE IN SOCIAL NETWORKS - A method, system and computer program product are disclosed for predicting influence in a social network. In one embodiment, the method comprises identifying a set of users of the social network, and identifying a subset of the users as influential users based on defined criteria. A multitude of measures are identified as predictors of which ones of the set of users are the influential users. These measures are aggregated, and a composite predictor model is formed based on this aggregation. This composite predictor model is used to predict which ones of the set of users will have a specified influence in the social network in the future. In one embodiment, the specified influence is based on messages sent from the users, and for example, may be based on the number of the messages sent from each user that are re-sent by other users. | 02-14-2013 |
| 20130041861 | SEMANTIC MEDICAL DEVICES - A semantic medical technology is disclosed. In various embodiments, the technology organizes an initial data collection to collect data from the one or more sensors; processes the data to obtain an initial diagnosis wherein the initial diagnosis can be a syntax diagnosis or a semantic diagnosis; identifies an organization for an additional data collection to collect additional data; analyzes the additional data to obtain a refined diagnosis; and repeats the identifying and analyzing until a stopping criterion is satisfied. | 02-14-2013 |
| 20130041862 | METHOD AND SYSTEM FOR PROVIDING RECOMMENDATIONS IN A SOCIAL NETWORK - A Bayesian Inference based recommendation system in a social network is provided. The method and system utilizes content ratings from a querying initiator's friends and their friends depending on the time to live (TTL) and other factors. Receiving users send to the querying initiator recommendation ratings from their friends and a conditional probability of distribution of the recommendation ratings given by the recommender's rooted at the friend. Once this information has been obtained from the friend/hopped friend network, the querying initiator's recommendation query engine constructs the QI's own rating response using the Bayesian Inference Network. | 02-14-2013 |
| 20130041863 | SYSTEMS AND METHODS FOR ORGANIZING DATA SETS - A method is provided for organizing data sets. In use, an automatic decision system is created or updated for determining whether data elements fit a predefined organization or not, where the decision system is based on a set of preorganized data elements. A plurality of data elements is organized using the decision system. At least one organized data element is selected for output to a user based on a score or confidence from the decision system for the at least one organized data element. Additionally, at least a portion of the at least one organized data element is output to the user. A response is received from the user comprising at least one of a confirmation, modification, and a negation of the organization of the at least: one organized data element. The automatic decision system is recreated or updated based on the user response. Other embodiments are also presented. | 02-14-2013 |
| 20130046717 | PREDICTING FUTURE TRAVEL BASED ON A USER'S HISTORICAL FINANCIAL INSTITUTION TRANSACTION DATA AND PROVIDING OFFERS BASED ON THE PREDICTED FUTURE TRAVEL - Methods, apparatus and computer-program products are described for providing travel-location merchant offers to users who are determined to be travelling based on Point-Of-Sale (POS) transaction data. Embodiments of the invention compare the location of the POS transaction to the user's domicile location and if the transaction occurs a predetermined distance or greater from the domicile location, the user is determined to be travelling. Once the travelling determination is made, travel-location merchant offers are identified and communicated to the user. | 02-21-2013 |
| 20130046718 | METHOD AND SYSTEM FOR CONNECTING ANALYTIC NETWORK PROCESS MODEL (ANP) WITH FEEDBACK THROUGHOUT THE ANP MODEL BETWEEN SUB-NETWORKS - A computer-implemented system is provided for an analytic network process (ANP) control structure with feedback throughout the ANP control structure. The computer-implemented system includes an ANP control structure storage unit that stores an ANP control structure with feedback throughout the ANP control structure. Also included is a synthesizer that performs a BOCR calculation on the ANP control structure with feedback throughout the ANP control structure, to yield a result which is proper according to ANP theory when values are non-trivial. Also disclosed is a computer-implemented method for an analytic network process (ANP) control structure with feedback through the ANP control structure, and a related computer-readable storage medium encoded with a computer program. | 02-21-2013 |
| 20130046719 | INFORMATION PROCESSING DEVICE, TERMINAL, SERVER, AND METHOD FOR DATA TRANSFER - An information processing device includes a first unit which predicts use data used in the future on the basis of action plan information resulting from prediction of an action of a user, and outputs use data identification information; a second unit which predicts a communication state in a situation indicated by the action plan information on the basis of the action plan information and communication environment information regarding a communication environment of the terminal, and outputs information regarding the predicted communication state; and a third unit which calculates a prefetch necessary degree regarding each of the use data on the basis of the use data identification information and the information regarding the predicted communication state. | 02-21-2013 |
| 20130054502 | DETERMINATION OF DOCUMENT CREDIBILITY - A plurality of topics encompassed in a document are determined and, for each such topic, a sentiment for that topic is likewise determined. Thereafter, credibility of the document is determined based on the resulting plurality of sentiments. In one embodiment, credibility of at least one target document is established by first determining, for each of a plurality of portions of the at least one target document, at least one topic encompassed in the portion to provide a plurality of target topics. Likewise, sentiment scores are determined for each portion. Thereafter, for each prior topic of a plurality of prior topics, a topic-sentiment score is determined based on sentiment scores corresponding to those portions of the plurality of portions having a target topic corresponding to the prior topic. A credibility index is determined based on the resulting plurality of topic-sentiment scores. | 02-28-2013 |
| 20130054503 | Presenting Intelligent Tagging Suggestions For A Photograph - Methods, apparatuses, and computer program products for presenting intelligent tagging suggestions for a photograph are provided. Embodiments include identifying, by a tagging module, contextual information indicating circumstances in which the photograph was taken; based on the contextual information, selecting, by the tagging module, candidate profiles from a plurality of friend profiles associated with a profile of a user; and suggesting, by the tagging module to the user, the selected candidate profiles as potential friends to tag in the photograph. | 02-28-2013 |
| 20130054504 | Method of Pattern Recognition for Artificial Intelligence - Invention for pattern recognition and artificial intelligence comprising: | 02-28-2013 |
| 20130054505 | LIFE PATTERN DETECTION - An example embodiment includes a life pattern detection system. The life pattern detection system includes a sensor, a data acquisition device, and a first processor. The sensor is configured to monitor actions of a user. The data acquisition device is configured to harvest signals from the sensor and produce sensor data. The first processor is configured to receive the sensor data and background data, and to execute a life pattern application including a first series of analytical steps that determines a predictable set of actions from the sensor data and the background data. | 02-28-2013 |
| 20130060725 | JUDGMENT APPARATUS, JUDGMENT SYSTEM, AND JUDGMENT METHOD - A judgment apparatus includes a storage configured to store first reference data representing data that a detector should output in a first area when a detection target passed the first area, and second reference data representing data that the detector should output in the first area when the detection target passed a second area being different from the first area; and a processor to perform processes of: obtaining data from the detector outputting, in a time-series manner, data according to a detection condition of the detection target passing the first area or the second area; judging a degree of similarity between data obtained by the obtaining and the first and second reference data stored in the storage; and judging whether or not the detection target passed the first area, based on the judgment result by the judging the degree of similarity. | 03-07-2013 |
| 20130060726 | COMPREHENSIVE HUMAN COMPUTATION FRAMEWORK - Technologies for a human computation framework suitable for answering common sense questions that are difficult for computers to answer but easy for humans to answer. The technologies support solving general common sense problems without a priori knowledge of the problems; support for determining whether an answer is from a bot or human so as to screen out spurious answers from bots; support for distilling answers collected from human users to ensure high quality solutions to the questions asked; and support for preventing malicious elements in or out of the system from attacking other system elements or contaminating the solutions produced by the system, and preventing users from being compensated without contributing answers. | 03-07-2013 |
| 20130066820 | SYSTEM AND METHOD FOR EVIDENCE-BASED DECISION BOOTSTRAPPING - The systems and methods relate to decision making processes. Data associated with a request for a decision is received. Risks associated with the request are identified. Decision queries associated with each of the identified risks are determined. Any non-standard attributes associated with each of the identified risks are identified. A confidence level threshold for each of the identified risks is determined. A decision recommendation, generated by a machine learning component, is received. The decision recommendation includes a response to each of the one or more decision queries, determined based on the exceptional attributes, if any, and a confidence level associated with the response. The confidence level is compared to the confidence level threshold. Based on the comparison, a decision path for responding to the request is determined. Decision path actions are determined based on the decision path. | 03-14-2013 |
| 20130066821 | SYSTEM AND METHOD FOR PROVIDING RECOMMENDATIONS WITH A LOCATION-BASED SERVICE - A mobile application is provided that provides intelligent recommendations based on the knowledge of where the user has been, and what venues the user would like to visit. Further, such an application may be capable of determining where people in a user's social network have been and what venue locations these related users would like to visit. Also, in another implementation, the application may be capable of determining where people with similar tastes have been, and where they would like to go. Some or all of this information may be used by a mobile application that provides recommendations to a user. For instance, in one implementation, a user having a mobile device such as a cell phone wishes to locate a venue based on one or more parameters, and some or all of this information may be used to order or rank recommendations within the interface. | 03-14-2013 |
| 20130073504 | SYSTEM AND METHOD FOR DECISION SUPPORT SERVICES BASED ON KNOWLEDGE REPRESENTATION AS QUERIES - In a method for decision support, a request for information that is part of a context is received, data is generated in response the request, a knowledge model associated with the context is populated with the data, the knowledge model is populated with real-time data associated with the request, the knowledge model is executed, and a result of the executed knowledge model is output. | 03-21-2013 |
| 20130073505 | Methods and Framework for evaluating and modeling of contextual exchange, contextual collaboration and sensational awareness - Methods and framework for modeling of an intelligent, contextual and sensationally aware cognition and sensory system, operating based on the principle of the harmonic theory, which herein after will be referred to as the “Harmonic System” | 03-21-2013 |
| 20130073506 | Context-Aware Analysis and Adaptation - A system and method for providing multi-dimensional context-aware adaptation in vehicular networks is disclosed. The system comprises a collection module, a context resolving module, a parameter determination module and a distribution module. The collection module collects context data describing a context in a communication environment. The context resolving module resolves the context data to a matching historical context and determines one or more historical context groups associated with the matching historical context. The parameter determination module determines a subset of operating parameters from the one or more historical context groups. The distribution module distributes the subset of operating parameters to a network stack communication module. | 03-21-2013 |
| 20130073507 | INFORMATION PROVIDING APPARATUS FOR VEHICLE, AND METHOD THEREFOR - An information providing apparatus for vehicle has a remaining capacity detecting section | 03-21-2013 |
| 20130080363 | CONTEXT-BASED FAILURE REPORTING FOR A CONSTRAINT SATISFACTION PROBLEM - A method for solving a constraint satisfaction problem (CSP) comprises identifying a first illegal combination associated with at least one variable, wherein the first illegal combination contradicts at least one constraint; grouping the first illegal combination with a second illegal combination, in response to determining that the first and second illegal combinations contradict the same constraint; identifying at least one failure explanation for each group of illegal combinations, wherein the failure explanation is associated with at least one illegal combination in said group to provide a reason for a contradicted constraint associated with the illegal combination; assigning a value to each variable in the given domain to solve the CSP within the limitations defined by the constraints in a solution path; and generating a result, in response to determining that at least one assigned value to a variable contradicts a constraint. | 03-28-2013 |
| 20130080364 | SYSTEMS AND METHODS FOR PROVIDING RECOMMENDATIONS BASED ON COLLABORATIVE AND/OR CONTENT-BASED NODAL INTERRELATIONSHIPS - In selected embodiments a recommendation generator builds a network of interrelationships between venues, reviewers and users based on their attributes and reviewer and user reviews of the venues. Each interrelationship or link may be positive or negative and may accumulate with other links to provide nodal links the strength of which are based on commonality of attributes among the linked nodes and/or common preferences that one node, such as a reviewer, expresses for other nodes, such as venues. The links may be first order (based on a direct relationship between, for instance, a reviewer and a venue) or higher order (based on, for instance, the fact that two venue are both liked by a given reviewer). The recommendation engine in certain embodiments determines recommended venues based on user attributes and venue preferences by aggregating the link matrices and determining the venues which are most strongly coupled to the user. | 03-28-2013 |
| 20130080365 | Phased Whole Genome Genetic Risk In A Family Quartet - An embodiment of the present invention is a method for resolving long-range haplotype phase based on family pedigree data, inheritance state determination, and population linkage disequilibrium data. A method according to an embodiment of the present invention provides for the evaluation of genome wide risk using phased haplotype data. | 03-28-2013 |
| 20130080366 | Enhanced Artificial Intelligence Language - A method of determining an appropriate response to an input includes linking a plurality of attributes to a plurality of response templates using a plurality of Boolean expressions. Each attribute is associated with a set of patterns. Each pattern within the set of patterns is equivalent. The method also includes determining an appropriate response template from the plurality of response templates based on the input. | 03-28-2013 |
| 20130080367 | AGREEMENT BREACH PREDICTION SYSTEM, AGREEMENT BREACH PREDICTION METHOD AND AGREEMENT BREACH PREDICTION PROGRAM - In order to improve the prediction accuracy of a service level agreement breach, an agreement breach prediction system includes: a probability distribution calculation unit that calculates a probability distribution of a measured value for each event; a probability calculation unit that calculates, for each event, a probability that applies to an SLA breach and a probability that does not applies to an SLA breach; an SLA distribution calculation unit that calculates a probability density of a measured value corresponding to the SLA breach; and a breach occurrence probability calculation unit that, when the event occurs, calculates a probability that the SLA breach occurs within the predefined time after the occurrence of the event, by using the respective probabilities corresponding to the event, and the respective probability densities corresponding to the measured values at the time of event occurrence. | 03-28-2013 |
| 20130085974 | USING CYCLIC MARKOV DECISION PROCESS TO DETERMINE OPTIMUM POLICY - A method for determining an optimum policy by using a Markov decision process in which T subspaces each have at least one state having a cyclic structure includes identifying, with a processor, subspaces that are part of a state space; selecting a t-th (t is a natural number, t≦T) subspace among the identified subspaces; computing a probability of, and an expected value of a cost of, reaching from one or more states in the selected t-th subspace to one or more states in the t-th subspace in a following cycle; and recursively computing a value and an expected value of a cost based on the computed probability and expected value of the cost, in a sequential manner starting from a (t −1)-th subspace. | 04-04-2013 |
| 20130085975 | Device for Monitoring the Lateral Environment of a Vehicle - A device for monitoring the lateral environment of a vehicle. The device includes an evaluation and control unit and at least one predictive sensor unit. The evaluation and control unit have at least one interface, which receives signals from the at least one predictive sensor unit, and an arithmetic unit which is coupled to the at least one interface and analyses signals from the at least one predictive sensor unit for detecting an object in a lateral monitoring region and for determining information about the detected object. The at least one predictive sensor unit is a low-cost sensor unit, and at least two predictive sensor units, which have overlapping monitoring regions, are disposed at a distance from each other on each vehicle side. | 04-04-2013 |
| 20130085976 | SYSTEM FOR PREDICTING A DRIVER'S INTENTION TO CHANGE LANES - Provided is a system for predicting a driver's intention to change lanes at a high accuracy involving a minimum amount of time delay. A driver's intention to change lanes is predicted by a prediction unit ( | 04-04-2013 |
| 20130091084 | DATA QUALITY ISSUE DETECTION THROUGH ONTOLOGICAL INFERENCING - Systems and methods (e.g., utilities) for use in providing automated data quality detection that can be used multiple times across various domains and across multiple data quality spheres. A data structure or schema of an incoming data set is initially mapped to a desired data or knowledge state in a domain ontology made up of a number of TBox statements. Data quality issues in the incoming data set can then be detected as instances of the incoming data set are attempted to be inferenced against or otherwise matched to anticipated TBox statements of the domain ontology. | 04-11-2013 |
| 20130091085 | INSIDER THREAT DETECTION DEVICE AND METHOD - The present invention relates to an insider threat detection device and method which collects and analyzes a variety of information generated by insiders working for an organization, such as behaviors, events, and states of the insider, and detects an abnormal insider who may become a potential threat. According to the present invention, the insider threat detection method and apparatus analyzes information related to insiders using the correlation analysis method, and previously detects an abnormal sign of an insider who may become a potential threat to an organization, which makes it possible to protect the organization from attacks on systems inside the organization or seizure of important information inside the organization. | 04-11-2013 |
| 20130097109 | METHOD FOR DETERMINING A PREFERRED NODE IN A CLASSIFICATION AND REGRESSION TREE FOR USE IN A PREDICTIVE ANALYSIS - Techniques are described for determining what node of a classification and regression tree (CART) should be used by a predictive analysis application. A first approach is to use a standard deviation of the data at a given the level of the CART to determine whether data in the next, lower node is more consistent than the data in the current node. A second approach is to measure a correlation between data points in a given node and the time at which each point was sampled (or other correlation metric) to identify a preferred node. | 04-18-2013 |
| 20130103628 | USER ACTIVITY DASHBOARD FOR DEPICTING BEHAVIORS AND TUNING PERSONALIZED CONTENT GUIDANCE - User activity dashboards and methods for tuning recommendation models are provided herein. Exemplary methods may include exposing, to an end user device, a current preference model used by a recommendation engine to provide recommendations to the end user, receiving a modification to the current preference model, generating a modified preference model with the modification, and applying the modified preference model to generate recommendations for the end user that are more relevant than the recommendations provided using the current preference model. | 04-25-2013 |
| 20130103629 | Automated Entity Identification for Efficient Profiling in an Event Probability Prediction System - A computer-implemented method and system for automated entity identification for efficient profiling in an event probability prediction system. A first subset of entities belonging to one or more entity classes is defined. At least one historical profile is constructed for each entity in the subset of entities based on a set of possible outcomes of transaction behavior of each entity in the first subset of entities. Based on the historical profiles, a second subset of entities having transaction behavior associated with a transaction is selected, the transaction behavior being predictive of at least one targeted outcome from the set of possible outcomes. The first subset of entities is redefined with the second subset of entities. | 04-25-2013 |
| 20130110753 | Combining multivariate time-series prediction with motif discovery | 05-02-2013 |
| 20130110754 | FACTOR-GRAPH BASED MATCHING SYSTEMS AND METHODS | 05-02-2013 |
| 20130110755 | SYSTEM AND METHOD FOR RENDERING DECISION SUPPORT INFORMATION TO MEDICAL WORKERS | 05-02-2013 |
| 20130110756 | Short-term Load Forecast Using Support Vector Regression and Feature Learning | 05-02-2013 |
| 20130117214 | Behavioral Fingerprinting Via Derived Personal Relation - Disclosed herein are example embodiments for behavioral fingerprinting via derived personal relation. For certain example embodiments, at least one indication of personal relation for at least one authorized user may be derived via at least one user-device interaction, and the at least one indication of personal relation may be incorporated into at least one behavioral fingerprint that is associated with the at least one authorized user, the at least one behavioral fingerprint including one or more indicators of utilization of one or more user devices by the at least one authorized user. | 05-09-2013 |
| 20130124441 | METHOD AND SYSTEM FOR ELECTRIC VEHICLE ADOPTION SIMULATION WITH REASONING - A method and system for an agent-based evidential reasoning decision computer system for determining an adoption rate of a trend is provided. The system includes a plurality of nodes arranged in a tree structure. The plurality of nodes define an evidential reasoning algorithm where lower level nodes receive factors to be considered in the decision and each node assigns a likelihood of an outcome of the received factors, and generates an output to a subsequent higher level node or root of the tree structure. The system also includes a plurality of agent models organized in a hierarchical structure, each agent model comprising a respective set of the plurality of nodes and an output of the agent model, each agent model representing a member of a population, and an aggregator algorithm configured to combine the outputs of the plurality of agent models to generate an output representing an adoption rate. | 05-16-2013 |
| 20130124442 | SYSTEM AND METHOD FOR PRECACHING INFORMATION ON A MOBILE DEVICE - A system and method for precaching information on a mobile device. A precaching strategy is built for a mobile device. The strategy defines a forecast of data types a user is predicted to request after the occurrence of one or more data refresh conditions. The precaching strategy is built by recognizing data usage patterns in data requested by the user or a group of users over a time period. The data usage pattern comprises data types and events that are correlated to the usage of the data. The events are used to define at least one refresh condition within the precaching strategy. The precaching strategy is executed. When the occurrence of the data refresh condition is detected, data is then retrieved from a data source, wherein the data is retrieved according to the precaching strategy. The retrieved data is transmitted to a user device cache. | 05-16-2013 |
| 20130124443 | VALIDATION OF LABORATORY TEST DATA - The present invention provides novel techniques for validating laboratory data values for properties of interest of products produced by a process system. In particular, samples of the product may be sent to a laboratory testing facility, where laboratory testing procedures may be used to obtain the laboratory data values for the property of interest. The laboratory data values may be sent to a control system which includes a laboratory data validation module. The laboratory data validation module may be capable of validating the laboratory data values of the property of interest by comparing the laboratory data values of the property of interest with predicted values generated by a model. The model may be created using inputs such as laboratory and measured data values of the property of interest as well as laboratory and measured data values of other properties of the product. In particular, the laboratory data validation module may, in certain embodiments, include a laboratory data validation model, which may aid the validation of the laboratory data values of the property of interest. | 05-16-2013 |
| 20130124444 | SERVICE MODELING IMPACT ANALYSIS - A computer system includes a plurality of computer processor dependent nodes and a plurality of computer processor antecedent nodes. Each node includes a severity value relating to an operational state of the node. A dependent node and an antecedent node pair include a significance value relating to a criticality that the antecedent node has to its paired dependent node. The antecedent node comprises a relevance value, wherein the relevance value is a function of the severity value of the antecedent node and the significance value for the antecedent node and the dependent node. The relevance value is used to determine an impact that the antecedent node has on the paired dependent node. | 05-16-2013 |
| 20130124445 | PRIORITIZING REPAIR OF BRIDGES AND BRIDGE SECTIONS - Embodiments of the invention are generally directed toward methods, systems, and computer-readable media for prioritizing bridge repairs. A bridge score is generated that represents various factors such as conditions, load issues, risk of failure, and importance. Repairs to bridges or bridge segments that pose a greater risk may be prioritized before repairs made to bridges posing a lower risk. | 05-16-2013 |
| 20130132316 | Substructure and Boundary Modeling for Continuous Action Recognition - Embodiments of the present invention include systems and methods for improved state space modeling (SSM) comprising two added layers to model the substructure transition dynamics and action duration distribution. In embodiments, the first layer represents a substructure transition model that encodes the sparse and global temporal transition probability. In embodiments, the second layer models the action boundary characteristics by injecting discriminative information into a logistic duration model such that transition boundaries between successive actions can be located more accurately; thus, the second layer exploits discriminative information to discover action boundaries adaptively. | 05-23-2013 |
| 20130132317 | POWER PROVISION BASED ON SELF-SACRIFICING CRAFT - A biologically-inspired system and method is provided for self-adapting behavior of swarm-based exploration missions, whereby individual components, for example, spacecraft, in the system can sacrifice themselves for the greater good of the entire system. The self-sacrifice can involve donating resources or assets, such as power provisions, to a different component of an autonomous system. A receiving component of the system can benefit from receiving the donated resource or power provision. | 05-23-2013 |
| 20130132318 | Methods and Systems for Collaborative Formulation and Solution of Problems - Methods and systems for computationally solving problems are disclosed. A problem can be specified using a computing device. The problem can include at least an initial state and a plurality of operators. Each operator of the plurality of operators can be configured to transform an input state to an output state. The computing device can set a current state of the problem to the initial state. The computing device can generate a display of at least the current state and at least one operator of the plurality of operators. The computing device can receive an input specifying a first operator of the plurality of operators. After receiving the input, the computing device can use the first operator to transform the current state to a transformed state. The computing device can store the transformed state. | 05-23-2013 |
| 20130132319 | HEALTH AND FITNESS MANAGEMENT SYSTEM - A health and fitness management system is provided that has a health and fitness application operating, e.g., on a smart phone, that can wirelessly communicate with an activity module worn on the user which has an accelerometer. The application accepts food and weight inputs (e.g., from the smart phone) and user activity units (e.g., from the activity unit) and develops a user intrinsic metabolism. The application includes fitness arc and health quotient graphical indicators that guide the user on health and fitness activities. | 05-23-2013 |
| 20130132320 | INNOVATION EXPERT SYSTEM, IES, AND ITS PTR DATA STRUCTURE, PTR-DS - The claimed Innovation Expert System, IES, and for a given innovation/invention the claimed Data Structure DS—structurally being the same for any innovation/invention—meet two kinds of functional requirements. They support: | 05-23-2013 |
| 20130132321 | GENERAL MARKET PREDICTION USING POSITION SPECIFICATION LANGUAGE - Methods evaluating propositions about timeseries are provided. A service accepts a proposition about one or more timeseries, and the service monitors those timeseries. A proposition can reference multiple timeseries with different time intervals and different units. When new data is available, the service evaluates the proposition to determine if the proposition is true, false, or neither. The service automatically performs unit conversions and selects relevant, previously observed values before evaluating a proposition when new data is available. | 05-23-2013 |
| 20130138590 | SYSTEM FOR PLANNING, MANAGING, AND ANALYZING SPORTS TEAMS AND EVENTS - A system for planning, managing, and analyzing sports teams and events. The system may include a content management function for storing data. The data can pertain to a plurality of sports-related statistics and a variety of identifying data. The system and method can also include an event management function for planning and evaluating sports-related events such as practices and games. The system and method can also include a report function which can provide a variety of statistical analyses. | 05-30-2013 |
| 20130138591 | ETIQUETTE SUGGESTION - Methods and systems for a complete vehicle ecosystem are provided. Specifically, systems that when taken alone, or together, provide an individual or group of individuals with an intuitive and comfortable vehicular environment. The present disclosure builds on integrating existing technology with new devices, methods, and systems to provide a complete vehicle ecosystem. | 05-30-2013 |
| 20130138592 | DATA PROCESSING - A method and apparatus for data processing. The method calculates correlations between a plurality of attributes in a dataset. The attributes are factors involved in transaction processing. The method generates a relationship graph by using the plurality of attributes and the correlations between the plurality of attributes; and extracts a sub-graph from the relationship graph to represent a hypothesis. The hypothesis describes the impacts of the factors on the transaction processing. Also provided is an apparatus for implementing the above data processing method. | 05-30-2013 |
| 20130138593 | Method and Apparatus for Operating a Finite State Machine - A finite state machine is provided. The finite state machine causes a function to be carried out in dependence on at least an event input to the finite state machine and the current state of the finite state machine. Associations between the functions that are to be carried out and combinations of the states and the events are identified using an associative array. The associations identified using the associative array are amended while the finite state machine is operating to dynamically reconfigure the operation of the finite state machine. | 05-30-2013 |
| 20130138594 | OPERATIONS MANAGEMENT APPARATUS, OPERATIONS MANAGEMENT SYSTEM, DATA PROCESSING METHOD, AND OPERATIONS MANAGEMENT PROGRAM - An operations management apparatus which acquires performance information for each of a plurality of performance items from a plurality of controlled units and manages operation of the controlled units includes
| 05-30-2013 |
| 20130138595 | SYSTEM AND METHOD FOR ASSIGNING PIECES OF CONTENT TO TIME-SLOTS SAMPLES FOR MEASURING EFFECTS OF THE ASSIGNED CONTENT - Systems and methods provide for assigning pieces of content to time-slots samples for measuring effects of the assigned content. Systems and methods provide for receiving pair-wise content relatedness data that identifies each piece of content as experimental content or control content relative to other pieces of content, and algorithmically assigning experimental or control content pieces to time-slot samples using the content relatedness data, wherein additional content pieces assigned to a particular time-slot sample exclude non-identical related experimental content pieces defined relative to an experimental content piece previously assigned to the particular time-slot sample. | 05-30-2013 |
| 20130144822 | Predicting A User Behavior Number of a Word - The present disclosure introduces a method, an apparatus and memory of predicting a user behavior number of a word for reducing the amount and the complexity of operation, saving the consumption of the equipment, and improving the accuracy and reliability of predictions. In an embodiment, a historical data sequence of the user behavior number of a word is converted from a time domain to a frequency domain. Based on the converted frequency domain, each estimated cycle and its effect rate value of the historical data sequence are ascertained. If the historical data sequence is stable, an average value of user behavior numbers of some historical data points before a prediction point is calculated as a user behavior number of the prediction point. Otherwise, the user behavior number is calculated based on a selected main cycle and a selected singularity. | 06-06-2013 |
| 20130144823 | APPARATUS AND METHOD FOR EXTENDING A DEFAULT MODEL OF A TERMINAL - Provided are an apparatus and method for adding a variety of concepts to a default model by combining a linked model with the default model and linked data that is to be matched with the linked model. The apparatus may generate first relationship information about a relationship between a concept included in the default model and a concept included in the linked model and second relationship information about a relationship between a concept included in the linked model and a concept included in the linked data. The apparatus may combine the default model, the linked model, and the linked data, based on the first and second relationship information. | 06-06-2013 |
| 20130144824 | CALCULATING RISK ASSESSMENT VALUE OF EVENT SEQUENCE - Provided are a method, an apparatus and a computer program for calculating a risk assessment value for an event sequence, which are capable of calculating the risk assessment value of each even sequence by calculating a totally ordered set on the basis of a partially ordered set indicating the event sequence. The risk assessment value of an event sequence that is a partially ordered set indicating some events of an event group of M kinds of events (M is a finite natural number) in a time series. The partially ordered set is converted into an approximate totally ordered set, and an M-dimensional feature vector is calculated based on the totally ordered set obtained by the conversion. A projection matrix for calculating the risk assessment value is calculated using the calculated M-dimensional feature vector. | 06-06-2013 |
| 20130144825 | CALCULATING RISK ASSESSMENT VALUE OF EVENT SEQUENCE - Provided are a method, an apparatus and a computer program for calculating a risk assessment value for an event sequence, which are capable of calculating the risk assessment value of each even sequence by calculating a totally ordered set on the basis of a partially ordered set indicating the event sequence. The risk assessment value of an event sequence that is a partially ordered set indicating some events of an event group of M kinds of events (M is a finite natural number) in a time series. The partially ordered set is converted into an approximate totally ordered set, and an M-dimensional feature vector is calculated based on the totally ordered set obtained by the conversion. A projection matrix for calculating the risk assessment value is calculated using the calculated M-dimensional feature vector. | 06-06-2013 |
| 20130144826 | PROCEDURE FOR DETERMINING THE PROBABILITY OF FINDING A PARKING PLACE - A procedure for determining the probability of finding a parking place within a certain period of time on a pre-set stretch of road of an area with a multiplicity of stretches of road. With this procedure, motion profiles are detected and statistically evaluated of users of radiolocation-aided, especially satellite-aided, navigation aids in the area. For each user a “parking place found” event is determined; the stretch of road in which the “parking place found” event occurred is detected; and the travel time is detected which the user expended in each of the stretches of the road until the “parking place found” event occurred. From the data thus acquired for a multiplicity of users, a probability is determined of finding a parking place within the set time span on the stretch of the road. | 06-06-2013 |
| 20130144827 | SYSTEMS AND METHODS FOR SUPPORTING FERTILIZER DECISIONS - Systems and methods for supporting fertilizer decisions are provided. The systems and methods may be configured to receive data relating to the application of a liquid fertilizer to a field having a number of rows. The data may include at least one fertilizer characteristic and yield data relating to each row of the number of rows. The systems and methods may be configured to receive a request from a user to analyze the data. The systems and methods may be configured to compare the at least one fertilizer characteristic and the yield data for each row of the number of rows. The systems and methods may be configured to communicate the results of the comparison to the user. | 06-06-2013 |
| 20130144828 | MODIFICATION OF DESCRIPTION LOGIC EXPRESSIONS - A method, executed by a computer system, or altering a base expression associated with an ontology, the method including:
| 06-06-2013 |
| 20130151452 | Systems and Methods for Identifying Drug Targets Using Biological Networks - Certain embodiments of the invention may include systems and methods for identifying drug targets using biological networks. According to an example embodiment of the invention, a method is provided for predicting the effects of drug targets on treating a disease. The method can include constructing a structure of a Bayesian network based at least in part on knowledge of drug inhibiting effects on a disease; associating a set of parameters with the constructed Bayesian network; determining values of a joint probability distribution of the Bayesian network via an automatic procedure; deriving a mean Bayesian network with one or more averaged parameters based at least in part on the joint probability values; and calculating a quantitative prediction based at least in part on the mean Bayesian network. | 06-13-2013 |
| 20130151453 | REAL-TIME PREDICTIVE INTELLIGENCE PLATFORM - A real-time predictive intelligence platform comprises: receiving from a user through a meta API definitions for predictive intelligence (PI) artifacts that describe a domain of an online transaction system for least one business entity, each of the PI artifacts including types, component modules and behavior bundles; exposing an entity API based on the PI artifacts for receiving entity events from the online transaction system comprising records of interactions and transactions between customers and the online transaction system; responsive to receiving an entity event through the entity API, executing the component modules and behavior bundles to analyze relationships found between past entity events and metrics associated with the past entity events, and computing a probabilistic prediction and/or a score, which is then returned to the online transaction system in real-time; and processing entity event replicas using modified versions of the PI artifacts for experimentation. | 06-13-2013 |
| 20130151454 | Weather comfort forecasting for riders of motorcycles and other exposed-rider vehicles - A method for predicting and reporting rider comfort on exposed-rider vehicles uses weather report data and riding speeds to calculate an effective temperature. Personal preferences may also be set and considered to provide predictive information and recommendations particular to sensibilities of individual riders. This method may be used as an aid to planning ride times, durations, and wardrobe choices as a function of time of day and planned riding speeds. | 06-13-2013 |
| 20130151455 | SYSTEM AND METHOD FOR NETWORKED DECISION MAKING SUPPORT - The present invention provides systems and methods for decision making support. The decision making support can be used, for example, for help desk troubleshooting, medical diagnosis, financial planning, and expert device. The decision support system of the invention includes a processor and a memory having a decision support program module, a phase dictionary, one or more solution nodes and optionally a topic identification information module. The decision support module is configured to enable the processor to receive a problem constraint and one or more user-specified phrases, which are then used to search nodes in a solution domain to identify a set of nodes potentially related to the user's problem or question. The set of nodes potentially related to the user's problem or question are ranked and displayed. Methods to determine potential solution nodes and to update solution nodes within the decision support system are provided. | 06-13-2013 |
| 20130159234 | CONTEXT ACTIVITY TRACKING FOR RECOMMENDING ACTIVITIES THROUGH MOBILE ELECTRONIC TERMINALS - A mobile electronic terminal includes a context-activity tracking module, a recommendation module, and a user interface. The context-activity tracking module detects defined contexts, identifies associations between occurrence of the contexts and activities performed by a user of the mobile electronic terminal, and records information in a context-activity repository identifying the associations. The recommendation module identifies a present occurrence of a context that is associated with a previous performance of at least one activity identified by the information in the context-activity repository, and generates a recommendation for the at least one activity that can be performed by the user. The user interface communicates the recommendation for the at least one activity to the user, and to receive an activation response from the user. Related context activity repository nodes and methods by a mobile electronic terminal are disclosed. | 06-20-2013 |
| 20130159235 | Methods and Systems For Investigation of Compositions of Ontological Subjects - Methods and systems are given for investigation of compositions of ontological subjects in accordance with various aspects of significance. Accordingly, the present invention provide a unified method and process of investigating the compositions of ontological subjects, modeling an unknown system, and obtaining as much worthwhile information and knowledge as possible about the system or the composition or the body of knowledge along with exemplary services utilizing such investigations. | 06-20-2013 |
| 20130159236 | DATA PROCESSING METHOD AND SYSTEM, AND RELEVANT APPARARTUS - Embodiments of the present invention disclose a data processing method including: sending global initial statistical information to each slave node; merging received local statistical information of each slave node, to obtain new global statistical information; if Gibbs sampling performed by a slave node has ended, calculating a probability distribution between a document and topic and a probability distribution between the topic and a word according to the new global statistical information; according to the probability distributions obtained through calculation, establishing a likelihood function of a text set, and maximizing the likelihood function, to obtain a new hLDA hyper-parameter; and if iteration of solving for an hLDA hyper-parameter has converged, and according to the new hLDA hyper-parameter, calculating and outputting the probability distribution between the document and topic and the probability distribution between the topic and word. | 06-20-2013 |
| 20130166486 | MAKING ESTIMATIONS OR PREDICTIONS ABOUT DATABASES BASED ON DATA TRENDS - Data trends that are based on historical data of a database can be used to make estimations and/or predications about the database. In other words, historical trends of a database can be used to make estimation about the data of the database. By way of example, a prediction can be made regarding the data change in the data since the Statistics has been collected. An estimation about data in a database can be used instead of actual data that would have to be collected as Statistics for the database. As a result, Statistics can be collected less frequently but estimation and/or predictions about the database can be used to optimize the execution of queries of the database. Also, collection of Statistics for database can be altered by using estimation about the Statistics of the database by collecting Statistics less frequently or for longer periods of time. | 06-27-2013 |
| 20130166487 | DOMAIN LEVEL CLUSTERING - A computer implemented method for clustering documents that includes receiving at least a first first-level cluster of documents and a second first-level cluster of documents, wherein the first first-level cluster includes one or more first documents associated with a first domain, the first documents satisfying a first first-level classification criterion, and the second first-level cluster including one or more second documents associated with a second domain, the second documents satisfying a second first-level classification criterion. The method also includes creating, by a processor of the computer system, a second-level cluster by combining the first first-level cluster with the second first-level cluster when a) the first first-level cluster and second first-level cluster satisfy a second-level classification criterion; and b) the first domain does not match the second domain. | 06-27-2013 |
| 20130166488 | PERSONALIZED INFORMATION PUSHING METHOD AND DEVICE - Embodiments of the present application relate to a personalized information pushing method, a personalized information pushing device, and a computer program product for pushing personalized information. A personalized information pushing method is provided. The method includes retrieving network behavior data related to access operations performed by user terminals, determining a numerical value of a degree of correlation between a user terminal and a plurality of information providing terminals having a correlation within a set time window based on the network behavior data, retrieving information providing terminals corresponding to a first user terminal to form a first data set based on the numerical values, retrieving information of the information providing terminals from the first data set to generate a first information, and pushing the first information to the first user terminal. | 06-27-2013 |
| 20130166489 | SYSTEM AND METHOD FOR USING A STATISTICAL CLASSIFIER TO SCORE CONTACT ENTITIES - A system and method for associating a character string with one or more defined entities of a contact record. An input character string is received. The string is first evaluated to see if the structure of the string is recognized. If not, then the string is compared to entries in a look up table. If the string format is not recognized, and the string is not found in the look up table, then a posterior probability is calculated for a set of defined entities over a limited set of string processing features. The result of probabilistic scoring determines which of the defined entities to associate with the character string. | 06-27-2013 |
| 20130173518 | Simplifying Lexicon Creation in Hybrid Duplicate Detection and Inductive Classifier System - A classification system includes a signature-based duplicate detector and an inductive classifier that share attribute information. To perform the duplicate detection and the classification, the duplicate detector and inductive classifier are first initialized by generating a lexicon of attributes for the duplicate detector and a classification model for the classifier. To develop a classification model, a training set of documents of known class are used by the classifier to determine the attributes of the documents that are most useful in classifying an unknown document. The model is developed from these attributes. Attribute information containing the attributes determined by the classifier is then passed to the duplicate detector and the duplicate detector uses the attribute information to generate the lexicon of attributes. | 07-04-2013 |
| 20130173519 | Method and computer program product for providing a response to a statement of a user - A method for providing a response to a statement of a user, the method includes: receiving user input that comprises a portion of a user statement; selecting, before receiving a whole user statement, an answerable statement response between an answerable statement, multiple answerable statements and a response to an answerable statement; wherein the selecting is responsive to user input and to structured representations of answerable statements answerable by an answering entity; and sending to the user information representative of response to the user statement. | 07-04-2013 |
| 20130173520 | METHOD FOR PROVIDING WITH A SCORE AN OBJECT, AND DECISION-SUPPORT SYSTEM - The present invention is related to a method for providing with a score an object represented by a target item from a multidimensional space, said score being representative of the probability that the object satisfies a given binary property, said method being performed in a computer environment comprising processing means connected to memory means, comprising the following steps: (a) providing and storing in the memory means data representative of a set of sample items from said multidimensional space, each sample item being associated with a multi-value label representative of the probability that an object represented by said sample item satisfies the given binary property; (b) storing in the memory means data representative of the target item; (c) with said processing means, generating and storing in said memory means data representative of an oriented binary tree with a given height, said binary tree being defined by a plurality of nodes having index values in relation with their position in the binary tree, said nodes comprising a root node, intermediate nodes and terminal nodes, and each node being associated with a subspace of the multidimensional space according to the following rules: if the node is a root node, the associated subspace is the whole multidimensional subspace; if the node is a non-terminal node, its associated subspace is split into two disjoint subspaces ε | 07-04-2013 |
| 20130179378 | Knowledge Reasoning Method of Boolean Satisfiability (SAT) - Disclosed is a knowledge reasoning method for solving Boolean Satisfiability problems. This method is one of the applications of the method disclosed in the US patent “Knowledge Acquisition and Retrieval Apparatus and Method” (U.S. Pat. No. 6,611,841). Disclosed method applies learning function to access iterative set relations among variables, literals, words and clauses as knowledge; And applies deduction and reduction functions to retrieve relations as reasoning. The process is a knowledge learning (KL) and knowledge reasoning algorithm (KRA). KRA abandons the “OR” operation of Boolean logic and processes only set relations of the data. The novelty of the disclosed method is the reversibility between the deduction and reduction. That is, KRA of Boolean Satisfiability applies a pair of perceptual-conceptual languages to learn member-class relations and retrieve information through deductive and reductive reasoning. | 07-11-2013 |
| 20130179379 | Preceding-Vehicle Identifying Apparatus And Following-Distance Control Apparatus - The preceding vehicle identifying apparatus calculates an integrated probability of existence of a curved road ahead of an own vehicle based on at least two of the curvature of the curved road, the track of a vehicle running ahead of the own vehicle and the own vehicle' having entered the curved road. The preceding vehicle identifying apparatus further calculates an own-vehicle lane probability which is a probability that the vehicle is running in the same lane as an own-vehicle lane in which the own vehicle is running based on the distance between a predicted running line of the own vehicle and the track of the vehicle running ahead of the own vehicle, and compensates the calculated own-vehicle lane probability based on the integrated probability. | 07-11-2013 |
| 20130179380 | PREDICTION METHOD, PREDICTION SYSTEM AND PROGRAM - A method for predicting an output variable from explanatory values provided as sets of combinations of discrete variables and continuous variables includes receiving input data that contains the explanatory variables to predict the output variable; searching for each element in the combinations for elements in a plurality of sets with matching discrete variables using training data which the output variable has been observed; applying a function giving the degree of similarity between two sets weighed by a scale variable to each element in the input data, and to one or more elements found in the elements of the input data to calculate function values, and calculating the sum of the function values for all of the elements in the input data; and applying the calculated sum for each element to a prediction equation for predicting the output variable to calculate a prediction value of the output variable for each element. | 07-11-2013 |
| 20130179381 | FREQUENT PATTERN EXTRACTION APPARATUS FREQUENT PATTERN EXTRACTION METHOD AND PROGRAM - There is provided a frequent pattern extraction apparatus. In the apparatus, time series data for an item operation is divided into a plurality of item operation sets. Using a set degree of similarity between the item operation sets, an abstract item operation set is generated. A pattern of sequences that frequently appear is extracted from the sequences in the abstract item operation set. Using the pattern of sequences that frequently appear, an item as well as an item operation are recommended to a user. | 07-11-2013 |
| 20130179382 | VEHICLE WITH COMPUTING MEANS FOR MONITORING AND PREDICTING TRAFFIC PARTICIPANT OBJECTS - An anticipatory monitoring and prediction system can include methods for generating effective, accurate predictions of other traffic objects in the vicinity of an ego-car. The invention proposes to combine approximate probability distributions (ADPs) of agent states with Attractor Functions (AFs) for generating distributed probabilistic representations of the potential future states of the observed traffic objects. AFs are selected based on both the current road context, in which the ego-car is situated, and the current states of all participating objects. The generated predictions can be used to filter incoming sensory information for better object state estimations, rate the nature of the behavior of other traffic objects by comparing generated predictions with actual perceived sensor information, or infer accident likelihoods by comparing the predicted state distributions of objects and the ego-car. Warning and information signals or control commands can be issued in a driving assistance system. | 07-11-2013 |
| 20130179383 | SYSTEM AND METHOD FOR MANAGING ELECTRIFIED PARKING SPACE UTILIZATION - The present disclosure provides systems and methods directed to managing parking space utilization and, more particularly, to maintaining a usage record and controlling access to on-street and other public charging spaces for electric vehicles, plug-in hybrid electric vehicles and other vehicle types, such as high efficiency fuel powered vehicles, for which preferential parking may be desirable. | 07-11-2013 |
| 20130179384 | MULTIPLE-PAIRS SHORTEST PATH FINDING METHOD AND SYSTEM - A method and system for solving shortest paths from multiple sources to multiple destinations faster. A method of solving the multiple-pairs shortest path problem is provided using processing by a computer having storage means. The method includes the steps of: (A) reading road network data S on multiple vertices as search starting points from a storage area of the computer; (B) reading road network data T on multiple vertices as search targets from the storage area of the computer; (C) selecting k vertices s | 07-11-2013 |
| 20130179385 | SYSTEMS AND METHODS FOR MAKING CONTEXTUAL RECOMMENDATIONS - A method and a system for making contextual recommendations to users on a network-based system. For example, a first and second related category are selected and a relationship score is calculated representing an aspect of the relationship between the first and second related categories. A relationship type is selected to represent the relationship between the first and second categories using the relationship score. The relationship type is one of either a complement or a substitute. A complement relationship indicates a complementary relationship between the first and second related categories. While a substitute relationship indicates a substitutionary relationship between the first and second categories. The relationship type is stored associated with the first and second related categories. Using the selected relationship type, a recommendation is provided to a user on the network-based system. | 07-11-2013 |
| 20130179386 | INNOVATION EXPERT SYSTEM, IES, AND ITS PTR DATA STRUCTURE, PTR-DS - The claimed Innovation Expert System, IES, and for a given innovation/invention the claimed Data Structure DS—structurally being the same for any innovation/invention—meet two kinds of functional requirements. They support:
| 07-11-2013 |
| 20130179387 | Analytical Generator of Key Performance Indicators For Pivoting On Metrics For Comprehensive Visualizations - A process context analyzer of an industrial process allows the flexibility of a client to customize process data that is captured, which can allow data capture to encompass a larger hierarchy of an enterprise or lower subset of a hierarchy with a requisite need for customization to match its architecture. Although analytics can be readily accessed for fixed context for which key performance indicators (KPIs) visualizations are defined, an opportunity for addressing abnormal operation or non-optimal performance is addressed by brining enhanced analytics that benefit from recognizing attributes of the flexible context. Thereby, requested calculated tags can be supplied, as well as offering a return on investment increase by pattern recognition of time frame dependent or ambient condition dependent variations in the flexible context. | 07-11-2013 |
| 20130185239 | Accelerated Decision Tree Execution - A method for accelerated decision tree execution in a processor of a digital system is provided that includes receiving at least some attribute values of a plurality of attribute values of a query for the decision tree in a pre-processing component, evaluating the received attribute values in the pre-processing component according to first early termination conditions corresponding to a first decision to determine whether or not the received attribute values fulfill first early termination conditions, and querying the decision tree with the plurality of attribute values when the received attribute values do not fulfill the first early termination conditions. | 07-18-2013 |
| 20130191313 | METHODS AND SYSTEMS FOR AUTOMATING CARBON FOOTPRINTING - Methods and systems for automating carbon footprinting are disclosed. In some embodiments, the methods include the following: obtaining data related to predetermined resources associated with an item from predetermined data sources; calculating estimated emission factors for each of the resources; determining a contributory uncertainty of the data and of the emission factors; guiding a user based on a comparison of the respective contributory uncertainty of data related to the resources or emission factors; and utilizing both data related to the resources and the estimated emission factors of the resources to determine a carbon footprint of the item. | 07-25-2013 |
| 20130191314 | METHOD AND SYSTEM FOR EXTRACTING ROUTE CHOICE PREFERENCE OF A USER - A system for extracting route choice preference of a user is provided. The system includes: a key route analysis unit configured to analyze history routes of all users to obtain key routes and their costs; and a user preference extraction unit configured to obtain feature routes of a certain user and their costs based upon the key routes and their costs as well as history routes of the certain user, and to extract route choice preference of the certain user based upon the feature routes of the certain user and their costs. Also provided is a method for extracting route choice preference of a user. The present embodiments enable automatic extraction of route choice preference of a user from history data, without requiring the user to preset his/her own preference. | 07-25-2013 |
| 20130191315 | METHOD OF DYNAMIC MODELING OF THE WORKFLOW, WITH THE USE OF INFORMATION SYSTEM - The method of dynamic modeling of workflow, with the use of information system is characterized in that, the analysis of workflow processes, the effect of which is procedures, is performed automatically by information system, in such a way, that on the basis of information, as obtained from the systems users during daily work, all actions taken by the users are registered, including the history of changes in each case, and then registered in this way flow of information between the persons and stages in every procedure is subjected to the automatic analysis, as a result of which the procedure diagrams are created with definable level of detail, that in the case of users behavior change are updated instantly, and in addition for prediction of user's behavior on the basis of taken by them decisions during the handing over cases, and the changes of the case stages, as well as all available information, classifiers and vector representations of the text content are automatically created, which are then used to suggest decisions concerning the next stage of procedure, as well as the next user, which should receive the case on the basis of information about current user, present stage, previous stages, previous user, text contents as well as the metadata (additional attributes of given case) and also on the basis of the text content of new case, recognized and suggested is a procedure, according to which the given case should be carried on. | 07-25-2013 |
| 20130198123 | HIERARCHICAL INFORMATION EXTRACTION USING DOCUMENT SEGMENTATION AND OPTICAL CHARACTER RECOGNITION CORRECTION - Systems, methods, and media for extracting and processing entity data included in an electronic document are provided herein. Methods may include executing one or more extractors to extract entity data within an electronic document based upon an extraction model for the document, selecting extracted entity data via one or more experts, each of the experts applying at least one business rule to organize at least a portion of the selected entity data into a desired format, and providing the organized entity data for use by an end user. | 08-01-2013 |
| 20130198124 | METHOD AND SYSTEM FOR MULTI-IED EVENT ZONE IDENTIFICATION IN AN ELECTRICAL GRID - A method of identifying at least one event zone subject to an event in a substation environment of an electrical grid. Thereby, data from multiple intelligent electronic devices can be synthesized in real-time whereby an operator can be presented with a single conclusion describing the event attributes thereby helping the operator to determine the mitigation actions as needed. The method includes receiving first event related data from the intelligent electronic devices, and based on the first event related data, determining whether the at least one monitoring zone subject to the event is a primary monitoring zone of at least one of the intelligent electronic devices or a non-primary monitoring zone for all of the intelligent electronic devices using ensemble decision making and probabilistic methods. It is also presented a system for carrying out the method. | 08-01-2013 |
| 20130198125 | SYSTEMS, METHODS, AND ARTICLES OF MANUFACTURE TO MEASURE ONLINE AUDIENCES - Methods and apparatus to monitor media content at a content display site are described. An example method includes obtaining panelist data corresponding to a plurality of panelists accessing web pages at measured locations, classifying the panelist data according to demographic information of the panelists, generating a virtual panel based on an estimate of web page access at unmeasured locations, and classifying page view data associated with the unmeasured locations based on data corresponding to the virtual panel. | 08-01-2013 |
| 20130198126 | SYSTEM AND METHOD FOR PRIORITIZING RESUMES BASED ON A JOB DESCRIPTION - A method for prioritizing one or more of resumes based on a job description is provided. The method includes (i) processing the job description to extract one or more keywords and a first period, (ii) extracting, from a first resume and a second resume of the one or more resumes, one or more section, one or more events, a first date range, and a second date range, (iii) obtaining a second period and a third period, (iv) comparing, is the first resume and the second resume, the one or more keywords with the one or more events and the first period with the third period to obtain a relevant event and a relevant section, (v) computing a first weight for the first resume and a second weight for the second resume, and (vi) prioritizing the first resume and the second resume based on the first weight and the second weight. | 08-01-2013 |
| 20130204821 | Computer hardware and software diagnostic and report system incorporating an expert system and agents - The diagnostic and report system tests computer systems for defects that are able to cause performance and functional problems. An agent application is first installed on a user's system. The agent application then retrieves problem data from the expert system library pertinent to the user's operating environment. The agent application tests the user's system for each problem description within a downloaded data structure from the expert system library. If a problem is discovered, a script attempts to remediate the problem and/or notifies the user, describing the issue. The agent application utilizes discrete programs and/or scripts to send data to a knowledge base so that the knowledge base is able to generate new discrete programs and/or scripts using artificial intelligence which are sent to the expert system library. With additional discrete programs and/or scripts, the user's system is better protected. | 08-08-2013 |
| 20130204822 | TOOLS AND METHODS FOR DETERMINING RELATIONSHIP VALUES - Systems, apparatus, and methods for correlating two items of interest, based on a plurality of data items and characteristics. The data items may include objective and quantitative data, as well as subjective and qualitative data. In one implementation, the relationship of an individual to a metric is determined. The system, apparatus, and methods may store characteristics describing individuals generally, along with metrics relevant to an organization; receive a plurality of data items; extract information associated with the individual from the data items; determine a number of relationships between the data items, individuals, metric, and characteristics; and use the relationships to determine an overall relationship between the individual and the metric, based on the data and characteristics. In addition, related groups of characteristics may be identified. Similarly, the relationships between any individual, metric, sub-metric, group of characteristics, data item, data source, characteristic, or groups thereof may also be determined. | 08-08-2013 |
| 20130204823 | TOOLS AND METHODS FOR DETERMINING RELATIONSHIP VALUES - System, apparatus, and methods for profiling constituents of an organization. These constituents may include donors, volunteers, supporters, advocates, stakeholders, affiliates, customers, employees, managers, executives, advisors, regulators, vendors, suppliers, partners, contractors, beneficiaries, friends, followers, or fans of any organization. In one implementation, the relationship of constituents to an organization is determined. The system, apparatus, and methods may store characteristics describing constituents generally, along with metrics relevant to an organization; receive a plurality of data items; extract information associated with the constituents from the data items; determine a number of relationships between the data items, constituents, metric, and characteristics; and use the relationships to determine an overall relationship between the constituents and the organization, based on the data and characteristics. In addition, related groups of characteristics may be identified. Similarly, the relationships between any constituent, organization, metric, sub-metric, group of characteristics, data item, data source, characteristic, or groups thereof may also be determined. | 08-08-2013 |
| 20130204824 | System and Method to Uplink Data to the Flight Deck of an Aircraft - A system, method and computer readable storage medium for generating predictive analysis and alert information, displaying the predictive analysis and alert information to a user on the ground, receiving, from the user, a selection of categories of the predictive analysis and alert information, formatting a message including the predictive analysis and alert information corresponding to the selected categories and transmitting the message to a flight deck of an aircraft. | 08-08-2013 |
| 20130204825 | Content Based Recommendation System - A media control system enables a device-agnostic and source-agnostic entertainment experience through use of an internet-enabled user device. The user device includes a client application for navigating through media or entertainment content, controlling media devices according to a type of media content selected by the user, and sharing media experiences via social networks. The user device includes smartphones, tablet computers, and other internet-enabled processor-based devices. The media control system leverages the internet access of the user device to enable search and discovery of all available media content. A recommendation engine coupled to the client application learns media preferences from user behavior, generates from numerous disparate media sources recommended media choices corresponding to the media preferences, and presents the recommended media choices on the user device. | 08-08-2013 |
| 20130204826 | SYSTEM AND METHOD FOR IDENTIFICATION OF SIMILAR EVENTS USING DATA AND CHARACTERISTICS - A similar event algorithm is used to compare a user specified event to a large historical binary gridded database of historical data, and identify similar events within the database. The user specified event input data is converted into a binary data format. The historical binary gridded database also is in a binary data format, such that the data is machine-readable. A similar event dataset is generated with similar events ranked according to the algorithm. | 08-08-2013 |
| 20130204827 | INTERNAL ABNORMALITY DIAGNOSIS METHOD, INTERNAL ABNORMALITY DIAGNOSIS SYSTEM, AND DECISION TREE GENERATION METHOD FOR INTERNAL ABNORMALITY DIAGNOSIS OF OIL-FILLED ELECTRIC APPARATUS UTILIZING GAS CONCENTRATION IN OIL - An object is to provide an internal abnormality diagnosis method, an internal abnormality diagnosis system and a decision tree generation method for internal abnormality diagnosis of an oil-filled electric apparatus utilizing gas concentration in oil and having a diagnostic accuracy equal to or higher than that of a diagnostic specialist having reached a certain level. The present invention provides a method for generating a decision tree for determining the type of an internal abnormality of an oil-filled electric apparatus using a computer. In the decision tree generation method, the computer generates a standardized data group by converting concentrations of a plurality of gas species dissolved in an insulating oil in an oil-filled electric apparatus into ratios for each abnormality case, generates a discretized data group by converting the ratios of the concentrations of the gas species, the ratios constituting the standardized data group, into a plurality of discretized attributes using predetermined thresholds which are set for the respective gas species, and generates a decision tree for determining the type of an internal abnormality of the oil-filled electric apparatus by analysis using specific formulae on the basis of the discretized data group. | 08-08-2013 |
| 20130212055 | SYSTEM AND METHOD FOR THE AUTOMATIC PUBLICATION OF UPDATED STATUS INFORMATION OF A USER IN A COMPUTER APPLICATION - Disclosed is a system and a method for the automatic publication of status information of a user in a computer application by the automatic generation by artificial intelligence of inferred information from the environment information obtained by a mobile terminal of the user. | 08-15-2013 |
| 20130212056 | MEDICAL DIAGNOSIS SUPPORT APPARATUS AND METHOD OF CONTROLLING THE SAME - A medical diagnosis support apparatus is provided. In the medical diagnosis support apparatus, an acquisition unit acquires medical information associated with a diagnosis target as input information. An inference unit infers a diagnosis name of the diagnosis target based on the acquired input information. A calculation unit calculates the influence rate of each input information with respect to each inference. A creation unit creates a report sentence based on the calculated influence rate. | 08-15-2013 |
| 20130218823 | METHOD AND SYSTEM FOR ANALYSING FLIGHT DATA RECORDED DURING A FLIGHT OF AN AIRCRAFT - The present invention concerns a method for analysing a so-called first set of flight data, the values of which were recorded during a flight of an aircraft and in which at least one subset of flight data, comprising at least one of the flight data of the first set and/or at least one flight data item of a second set, provided that at least one of its data exceeds its nominal value, is defined by correlation of the value of at least one flight data item of the first set with the value of at least one of the flight data of the second set. A flight event is then able to be detected from the values of the flight data of a subset and the values of the flight data of one of the second sets of flight data and, if a flight event is not detected from a subset, a probability of pairing between at least one second set and this subset is associated with this subset, the first set is then updated by adding at least one new flight data item of at least one second set and/or by deleting at least one of its flight data, according to the pairing probability values, the first set of flight data thus updated is then once again recorded during a new flight, and the method is iterated as long as an expert cannot make a decision on this subset. | 08-22-2013 |
| 20130218824 | Action Prediction and Identification of User Behavior - User behavior modeling can include determining actions performed by various users. From the mined user actions, future actions can be predicted. Certain implementations include providing information and/or services based on the predicted future actions. Some implementations, include providing relevant information, services, and/or goods regarding the predicted future action. | 08-22-2013 |
| 20130226852 | SMART SURVEY WITH PROGRESSIVE DISCOVERY - Aspects of the invention collect data or information from a dynamic and adaptive target group selection. Sets of experts are selected. Responses to a survey are used to expand the set of experts by adding experts noted in answer referrals. The survey is updated by removing satisfied questions, and expert selections, answers analysis and survey updating and resending steps are iteratively repeated until each question is satisfied, wherein the expert sets may be dynamically revised in each iteration. | 08-29-2013 |
| 20130232098 | IMPLICATION DETERMINING DEVICE, IMPLICATION DETERMINING METHOD AND IMPLICATION DETERMINING PROGRAM - To provide an implication determining device, an implication determining method, and an implication determining program capable of improving implication determination performance. A new fact determination means | 09-05-2013 |
| 20130232099 | Determining a Meaning of a Knowledge Item Using Document-Based Information - Systems and methods that determine a meaning of a knowledge item using related information are described. In one aspect, a knowledge item is received, related information associated with the knowledge item is received, at least one related meaning based on the related information is determined, and a knowledge item meaning for the knowledge item based at least in part on the related meaning is determined. Several algorithms and types of related information useful in carrying out such systems and methods are described. | 09-05-2013 |
| 20130232100 | SYSTEM AND METHOD FOR BUILDING A PREDICTIVE SCORE WITHOUT MODEL TRAINING - A system and method for building a predictive score without model training are disclosed. A set of predictive variables is defined based on raw data fields generated from raw data from one or more sources and domain knowledge. The raw data includes a historical set of transactions previously generated by one or more raw data sources. An scaled relative risk table to describe each predictive variable of the set of predictive variables is generated. The set of predictive variables is combined based on their associated relative risk tables to generate a predictive score for a future set of transactions. | 09-05-2013 |
| 20130232101 | AUTOMATED DYNAMIC VEHICLE BLIND SPOT DETERMINATION - A driver's orientation within a first vehicle is monitored. A change in the driver's orientation is detected. A change to a rear blind spot dimensional area of the first vehicle is calculated based upon the detected change. The rear blind spot dimensional area includes coordinates and dimensions of an area behind a peripheral view area of the driver and outside of rear viewable areas of viewable mirrors of the vehicle. The calculated change is applied to a statistical model of dangerous vehicle situations that includes a probabilistic function of at least one of a Gaussian distribution and a uniform distribution of at least one of the dangerous blind spot coordinates, dangerous information about the first vehicle, and dangerous characteristics of a vehicular environment surrounding the first vehicle. A dangerous situation associated with the first vehicle is predicted based upon a result of the calculated change applied to the statistical model. | 09-05-2013 |
| 20130232102 | COMPUTER SYSTEM AND INFORMATION PRESENTATION METHOD USING COMPUTER SYSTEM - A computer system includes a processor for executing a program, a computer holding the program executed by the processor, a first database holding relevance between physical amounts measured under conditions different in at least one of time and place, and a second database holding relevance between pieces of information including texts and corresponding to the measured physical amounts. The processor is configured to: calculate, based on the relevance between the physical amounts held in the first database and the relevance between the pieces of information in the second database, relevance between each of the measured physical amounts and each of the pieces of information, and hold the calculated relevance between each of the physical amounts and each of the pieces of information in a third database; and refer to, when the physical amounts are input, the third database to present information highly relevant to the input physical amounts. | 09-05-2013 |
| 20130232103 | METHOD OF CONTINUOUS PREDICTION OF PATIENT SEVERITY OF ILLNESS, MORTALITY, AND LENGTH OF STAY - A method for predicting a patient's outcome variable, such as a probability of mortality/recovery, includes accessing at least one of a plurality past patients' data fields including physiological and/or laboratory data, and a time of stay indicating how long each patient had been under care at the time. An outcome variable estimation algorithm is generated by data mining from a plurality of past patients' physiological and/or laboratory data, corresponding time of stay, and associated outcome variables. A current patient's outcome variable is determined from the current patient's physiological and/or laboratory data, the current time of stay, and the outcome variable estimation algorithm. | 09-05-2013 |
| 20130238539 | INCREMENTAL EFFECT MODELING BY AREA INDEX MAXIMIZATION - How much is the net benefit of treating an individual: cost-effective, very small, or even negative? To address this question, a methodology for developing an incremental effect model based on randomized test data is provided. The concept of an incremental effect area index is introduced for measuring the model's quality. A new variable screening technique is proposed to identify variables that are decision relevant and preferably time invariant. A piecewise linear function is created for each continuous variable to approximate the relationship between the incremental effect and the variable, based on a binning technique. Finally, a score is created as the weighted sum of a set of functions, with each function being the empirical prediction of the incremental effect based on a variable, wherein weights are chosen to maximize the incremental effect area index. The methodology creates an improved incremental effect model, leading to more cost-effective strategies in business practice. | 09-12-2013 |
| 20130238540 | METHOD AND APPARATUS FOR IMPROVING A USER EXPERIENCE OR DEVICE PERFORMANCE USING AN ENRICHED USER PROFILE - A method, an apparatus, and a computer program product for communication are provided in which a communications device is operable to provide an improved user experience or to improve the performance and/or operation of the communications device through use of an enriched user profile. In one aspect, the communications device may predict an event occurrence by interpreting an enriched user profile including an attribute and an enhanced informational element. The communications device may modify a functionality of a component of the device based on the predicted event occurrence. In one aspect, component modification may include presenting the contextually relevant informational element on a user interface. | 09-12-2013 |
| 20130238541 | APPARATUS AND A METHOD FOR RETRIEVING AN OBJECT - According to one embodiment, an object retrieval apparatus includes a query acceptance unit and a collision decision unit. The query acceptance unit is configured to accept a retrieval query indicating (N-1)-dimensional surface in N-dimensional space (N is an integral number larger than or equal to three). The collision decision unit is configured to decide whether the (N−1)-dimensional surface intersects N-dimensional cuboid positioned in the N-dimensional space. The collision decision unit decides by using a plurality of decision functions. The plurality of decision functions includes zero-th˜(N−1)-th decision functions to decide whether at least a part of at least one of X-dimensional face (X is all integral numbers larger than or equal to zero, and smaller than or equal to (N−1)) of the N-dimensional cuboid is included in the (N−1)-dimensional surface. | 09-12-2013 |
| 20130238542 | System and Method for Temporal Correlation of Observables Based on Timing Associated with Observations - According to one embodiment, an electronic device may be configured to perform temporal correlation operations to determine if a plurality of observables correspond to an event of interest. The electronic device comprises a memory and a processor. The memory is adapted to store information representing a process template for the event, where the process template including a plurality of observation states. The processor is coupled to the memory. The processor is adapted to receive a plurality of observables, even in non-chronological order, and to conduct a recursive comparison of time values associated with each of the plurality of observables to timing ranges associated with each observation state to determine if the plurality of observables are associated with the event. | 09-12-2013 |
| 20130238543 | SENSOR DETECTION DEVICE, CORRESPONDING DETECTION METHOD AND COMPUTER PROGRAM - A device detecting at least one scenario from predetermined scenarios wherein a physical system observed by at least one sensor is likely to be found, including: at least one sensor providing a physical system observation data sequence; a storage storing at least one statistical model associating possible observation data values with the predetermined scenarios; a computer programmed to select at least one of the scenarios based on the observation data sequence and at least one statistical model. The storage includes plural statistical models broken down into plural ordered levels between an input level, wherein each statistical model associates possible values of at least a portion of the observation data with intermediate states for the statistical model, and an output level, wherein each statistical model associating possible values of at least a portion of the intermediate states of a lower level with at least a portion of the predetermined scenarios. | 09-12-2013 |
| 20130246323 | METHOD AND APPARATUS FOR CONTEXTUAL CONTENT SUGGESTION - An approach is provided for contextual content suggestion. A recommendation platform processes and/or facilitates a processing of contextual information associated with at least one device to determine one or more locations, one or more contextual parameter values, or a combination thereof. The recommendation platform also determines popularity data associated with one or more content items with respect to the one or more locations, the one or more contextual parameter values, or a combination. The popularity data is determined from one or more other devices sharing at least substantially the one or more locations, the one or more contextual parameter values, or a combination thereof. The recommendation platform then causes, at least in part, a recommendation of the one or more content items to the at least one device based, at least in part, on the popularity information. | 09-19-2013 |
| 20130246324 | MULTIPATTERN REGULAR EXPRESSION SEARCH SYSTEMS AND METHODS THEREFOR - This disclosure relates generally to a tool, system, and method for searching input data. The system may include a pattern input module, configured to receive regular expression patterns of symbols. An interpreter module may be configured to access individual ones of the symbols of the input data and upon accessing each symbol and compare a thread against the symbol. For each pattern, the thread corresponding to the pattern is compared against the symbol prior to the at least one thread being compared against a subsequent symbol of the input data. An output module may be configured to output an indication of ones of the patterns determined to be contained within the input data based on the comparison of the corresponding at least one thread to the symbols of the input data. | 09-19-2013 |
| 20130246325 | METHOD FOR CLASSIFICATION OF NEWLY ARRIVED MULTIDIMENSIONAL DATA POINTS IN DYNAMIC BIG DATA SETS - A method for classification of a newly arrived multidimensional data point (MDP) in a dynamic data uses multi-scale extension (MSE). The multi-scale out-of-sample extension (OOSE) uses a coarse-to-fine hierarchy of the multi-scale decomposition of a Gaussian kernel that established the distances between MDPs in a training set to find the coordinates of newly arrived MDPs in an embedded space. A well-conditioned basis is first generated in a source matrix of MDPs. A single-scale out-of-sample extension (OOSE) is applied to the newly arrived MDP on the well-conditioned basis to provide coordinates of an approximate location of the newly arrived MDP in an embedded space. A multi-scale OOSE is then applied to the newly arrived MDP to provide improved coordinates of the newly arrived MDP location in the embedded space. | 09-19-2013 |
| 20130254146 | PREDICTION PROCESSING SYSTEM AND METHOD OF USE AND METHOD OF DOING BUSINESS - A prediction processing system, method, and method for doing business is disclosed. The prediction processing system can collect, process and publish event-outcome information. The prediction processing system can dynamically filter participants into groupings and iteratively optimize odds calculations over time. A proposal framework consisting of a various abstract proposal types can model and settle propositions. Game propositions can be automatically generated based on event categorization relationships. The prediction processing system can provide game players or others with access to collective intelligence, including prediction information and information derived from prediction information. The prediction processing system can create groupings of better-performing predictors and provide them with additional information not generally available. Better-performing predictors can be provided with additional stakes to increase the weight of their predictions in odds calculations. The prediction processing system can provide access to event-outcome information on a for-fee subscription basis. | 09-26-2013 |
| 20130254147 | METHOD AND APPARATUS FOR ASCERTAINING AT LEAST ONE EXIT PROBABILITY FROM A LAND AREA IDENTIFIABLE IN A DIGITAL MAP AS OPEN TERRAIN - A method and an apparatus for carrying out the method, for ascertaining at least one exit probability from a land area identifiable in a digital map as open terrain, wherein the exit probability is ascertained starting from a position within the land area. The method includes a step of subdividing the land area into a plurality of cells, with an initial transition probability being assigned to at least one transition from one cell to an adjacent cell. The method further includes a step of adapting the initial transition probability of the transition in response to a presence of at least one item of information from the digital map, to obtain an adapted transition probability for the transition, the item of information being associated with the cell or with the adjacent cell. The method also includes ascertaining the exit probability at least using the adapted transition probability of the transition. | 09-26-2013 |
| 20130254148 | METHOD OF MEASUREMENT USING FUSION OF INFORMATION - It is often necessary to make the best possible measurement of an object given a set of approximate assessments of its true state. As states change over time, or more information is made available, the set of assessments of the relative likelihood of the various possibilities has to be revised. An example might be the identification of an observed object such as a person or an aircraft, or the generation of a weather forecast from several pieces of information distributed in time or place, or both. The invention relates to methods for making the best possible measurement of an object, described by a powerset T, given uncertain data in terms of the elements of the powerset m | 09-26-2013 |
| 20130254149 | AFFECTIVE MODEL DEVICE AND METHOD OF DECIDING BEHAVIOR OF THE AFFECTIVE MODEL DEVICE - An affective model device and a method of deciding the behavior of an affective model device are provided. The affective model device has affective components representing trait, attitude, mood, emotion, and the like. The affective model device updates the emotion at regular time intervals or when a stimulus is received, and decides the behavior based on the updated emotion. The emotion may be updated depending on trait, attitude, and mood. | 09-26-2013 |
| 20130254150 | METHOD AND SYSTEM FOR MANAGEMENT OF SECURITY RULE SET - There are provided a method of automated managing one or more security rule-sets and a system thereof. The method comprising: obtaining data characterizing a connectivity request and an amended rule-set, the amended rule-set being derivative of an initial rule-set amended to fit the connectivity request; automated verifying each possible combination of values in the connectivity request against the initial rule-set and the amended rule-set; calculating one or more values selected from a group comprising values characterizing relative amount of extra allowed traffic and values characterizing relative amount of dissatisfied requested traffic; automated comparing the calculated values and/or derivatives thereof with a predefined threshold; and automated classifying the amended rule-set as applicable for implementation if the results of the automated comparing match a predefined verification criterion. | 09-26-2013 |
| 20130254151 | Systems and Methods for Predicting Customer Compliance with Demand Response Requests - Systems and methods for predicting customer compliance with requests to participate in demand response events are disclosed. The systems and methods may include receiving demand response information for a demand response event, receiving information for a customer, and determining or adjusting for the customer a compliance probability for the demand response event based at least partially on the demand response information and the received customer information. | 09-26-2013 |
| 20130262359 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - A positional information acquisition unit | 10-03-2013 |
| 20130262360 | ANALYZING AN ACTION - A system for analyzing an action is disclosed. An action input unit ( | 10-03-2013 |
| 20130262361 | SYSTEM AND METHOD FOR NATURAL LANGUAGE QUERYING - A system and method for information retrieval are presented. A natural language query is received from a client computer. The natural language query is analyzed to identify a plurality of terms, and a relationship between a pair of terms in the plurality of terms is determined using a knowledge model. The knowledge model defines a plurality of entities and interrelationships between one or more of the plurality of entities for a knowledge domain. A triple statement is constructed using the relationship between the pair of terms, and a query is executed against a knowledge base using the triple statement to generate a set of results. The knowledge base identifies a plurality of items, each of the plurality of items is associated with at least one annotation identifying at one of the entities in the knowledge model. The set of results are transmitted to the client computer. | 10-03-2013 |
| 20130262362 | Providing Digital Content Based On Expected User Behavior - In a computing system, information regarding a plurality of events that use a computing device is obtained, and a time-dependant increase in activity for each of at least some of the events is identified. An observed interest by a user in an event is correlated with an identified increase in activity for the event. Information about the activity at a time related to the event is provided for review by the user. | 10-03-2013 |
| 20130262363 | RECOMMENDED TIRE SELECTION SYSTEM - A recommended tire selection system | 10-03-2013 |
| 20130262364 | Clinical Documentation Debugging Decision Support - A system for verifying document content comprising a knowledge base ( | 10-03-2013 |
| 20130268474 | VARIANT DATABASE - The invention provides a system and method for describing polymorphisms or genetic variants based on information about mutations and relationships among them. The invention uses object-oriented concepts to describe variants as variant objects and relations among those variants as variant relation object, each object being an instance of an abstract class of genomic feature and able to contain any number of other objects. Information about genetic disorders is stored in association with the object that represents the pathogenic variant. Genetic test results are used to access corresponding objects to provide a report based on variants or polymorphisms in a patient's genetic material. | 10-10-2013 |
| 20130268475 | INFORMATION PROCESSING APPARATUS, A METHOD AND A NON-TRANSITORY COMPUTER READABLE MEDIUM THEREOF, AND AN INFORMATION COMMUNICATION TERMINAL, A CONTROL METHOD AND A NON-TRANSITORY COMPUTER READABLE MEDIUM THEREOF - According to one embodiment, a contents storage unit stores a plurality of contents. An additional information storage unit stores a plurality of additional information each differently corresponding to each of the contents. A selection history storage unit stores a history of selection from the contents and the additional information by a user in the past. A first estimation unit estimates a first preference information representing a tendency of the user's preference for the contents, based on the history. A second estimation unit estimates a second preference information representing a tendency of the user's preference for the additional information, based on the history. A selection unit selects a recommended content from the contents, and selects a recommended additional information from the additional information, based on the first preference information and the second preference information. | 10-10-2013 |
| 20130268476 | METHOD AND SYSTEM FOR CLASSIFICATION OF MOVING OBJECTS AND USER AUTHORING OF NEW OBJECT CLASSES - A system and method for classification of moving objects and user authoring of new object classes is disclosed. In one embodiment, in a method of classification of moving objects, a moving object is inputted. Then, an object descriptor and a motion descriptor are extracted from the inputted moving object. Multiple initial candidate library object descriptors are identified from an object library and a motion library using the extracted object descriptor and the extracted motion descriptor. An initial object class estimate is identified based on the identified multiple initial candidate library object descriptors. Then, an initial residue is computed based on the extracted object descriptor and the identified multiple initial candidate library object descriptors associated with the initial object class estimate. The object class estimates are iteratively identified and it is determined whether the object class estimates converge based on a stopping criterion. | 10-10-2013 |
| 20130275353 | SYSTEMS AND METHODS FOR SELECTING MEDIA ITEMS - Systems and methods are provided for selecting media items for playing on a user media device and generating a playlist of media items based on factors such as the operating state of the user media device, a predicted change in the operating state of the media player device associated with playing or retrieving the media item, and the desirability of the media item to the user. | 10-17-2013 |
| 20130275354 | HYPOTHESIS VERIFICATION USING ONTOLOGIES - The present invention relates to computer implemented methods and system for verifying hypotheses against ontologies. The methods and systems are designed to accept as inputs a set of axioms and/or assertions constituting a hypothesis, and a set of ontology axioms and/or assertions assumed to be true; determine whether the axioms and assertions constituting the hypothesis are either supported or contradicted by the axioms and assertions in the ontology, and extract the specific ontology axioms and/or assertions that either support or contradict the hypothesis. The result of these methods and of the systems implementing these methods is an indication on whether the hypothesis is supported by the ontology, contradicted by it, or neither supported nor contradicted by it, and if either supported or contradicted, the set of axioms and/or assertions from the ontology that cause the support or contradiction of the hypothesis. | 10-17-2013 |
| 20130275355 | FRAUD DETECTION AND ANALYSIS - Systems and methods generate a risk score for an account event. The systems and methods automatically generate a causal model corresponding to a user, wherein the model estimates components of the causal model using event parameters of a previous event undertaken by the user in an account of the user. The systems and methods predict expected behavior of the user during a next event in the account using the causal model. Predicting the expected behavior of the user includes generating expected event parameters of the next event. The systems and methods use a predictive fraud model to generate fraud event parameters. Generation of the fraud event parameters assumes a fraudster is conducting the next event, wherein the fraudster is any person other than the user. The systems and methods generate a risk score of the next event to indicate the relative likelihood the future event is performed by the user. | 10-17-2013 |
| 20130275356 | INTERACTIVE BROWSER-BASED SEMIOTIC COMMUNICATION SYSTEM - Embodiments described herein pertain to a standardized set of tools for representing and exploring the components and characteristics of complex systems. In one embodiment, the tools are deployed in a computer network environment so as to engage a social network such that its members utilize the tools to collaboratively construct and maintain a dynamically evolving learning environment in which complexity is represented and explored. | 10-17-2013 |
| 20130282636 | SYSTEMS AND METHODS FOR SOLVING COMBINATORIAL PROBLEMS - Systems and methods to solve combinatorial problems employ a permutation network which may be modeled after a sorting network where comparators are replaced by switches that controllably determine whether inputs are swapped or are left unchanged at the outputs. A quantum processor may be used to generate permutations by the permutation network by mapping the state of each switch in the network to the state of a respective qubit in the quantum processor. In this way, a quantum computation may explore all possible permutations simultaneously to identify a permutation that satisfies at least one solution criterion. The Travelling Salesman Problem is discussed as an example of a combinatorial problem that may be solved using these systems and methods. | 10-24-2013 |
| 20130282637 | SYSTEM AND METHOD FOR DISTINGUISHING HUMAN SWIPE INPUT SEQUENCE BEHAVIOR - Recording, analyzing and categorizing of user interface input via touchpad, touch screens or any device that can synthesize gestures from touch and pressure into input events. Such as, but not limited to, smart phones, touch pads and tablets. Humans may generate the input. The analysis of data may include statistical profiling of individual users as well as groups of users, the profiles can be stored in, but not limited to data containers such as files, secure storage, smart cards, databases, off device, in the cloud etc. A profile may be built from user/users behavior categorized into quantified types of behavior and/or gestures. The profile might be stored anonymized. The analysis may take place in real time or as post processing. Profiles can be compared against each other by all the types of quantified behaviors or by a select few. | 10-24-2013 |
| 20130282638 | PLANNING METHOD AND SYSTEM FOR USE IN COGNITIVE PROGRAMS - A system for achieving a desired goal in a domain. The system may comprise a device operable to receive information and simulate the domain therefrom; a device operable to simulate one or more effects due to one or more operators; a device operable to specify a number of items and/or classes of items and whether each item and/or each class of items is an affectable obstacle or a non-affectable obstacle; a device operable to automatically generate a candidate plan to achieve the desired goal by utilizing the simulated domain and the simulated effect(s), wherein the candidate plan could involve one or more affectable obstacles but does not involve any non-affectable obstacles; and a device operable to automatically refine the candidate plan to change at least one of the affectable obstacles involved in the candidate plan. | 10-24-2013 |
| 20130282639 | COMBINED-MODEL DATA COMPRESSION - Data compression technology (“the technology”) is disclosed that can employ two or more prediction models contemporaneously. The technology receives data from one or more sources; shifts or re-sample one of more corresponding signals; creates a prediction model of uncompressed samples using at least two different individual or composite models; selects a subset of the models for prediction of samples; determines an order in which signals will be compressed; formulates a combined predictions model using the selected subset of models; predicts a future value for the data using the combined compression model; defines a function that has as parameters at least the predicted future values for the data and actual values; selects a compression method for the values of the function; and compresses the data using at least the predicted value of the function. | 10-24-2013 |
| 20130282640 | Computerized system and method for calibrating sports statistics projections by player performance tiers - The system and method provides team guidance recommendations. The system and method provides player selection guidance by realistically valuing top-tier and lower-tier players. The system and method provides situational-based starting lineup recommendations by creating and using tier-specific, non-normal distributions in a probability distribution-based system for providing fantasy sports player selection guidance. The system and method generates variance and accuracy information from historical data of a particular player projection system, and generates non-normal fantasy point distributions from the same player projection system using the previously generated variance and accuracy information. | 10-24-2013 |
| 20130290232 | IDENTIFYING NEWS EVENTS THAT CAUSE A SHIFT IN SENTIMENT - A method identifies news events that cause shifts in sentiments. The method includes compiling a sentiment time series, the sentiment time series expressing a shift in sentiment; compiling a news events time series; correlating the sentiment and news events time series; identifying from the correlation news events that caused a shift in sentiment and predicting if a selected news event may cause a shift in sentiment in the future. | 10-31-2013 |
| 20130290233 | TECHNIQUES TO CUSTOMIZE A MEDIA PROCESSING SYSTEM - Techniques to customize a media processing system are described. A media processing system is described capable of integrating a large set of heterogeneous electronic devices into a single integrated system with enhanced navigation capabilities and automated configuration services. Other embodiments are described and claimed. | 10-31-2013 |
| 20130290234 | Intelligent Consumer Service Terminal Apparatuses, Methods and Systems - The INTELLIGENT CONSUMER SERVICE TERMINAL APPARATUSES, METHODS AND SYSTEMS (hereinafter “ICST”) The ICST transforms user service request inputs via ICST components into a service solution executable by an intelligent terminal. In one embodiment, a method is disclosed, comprising: receiving a service request inquiry from a remote terminal; parsing the service request inquiry to obtain service identifying information; querying in a solution cloud based on the obtained service identifying information; retrieving a solution from the solution cloud from the query; generating a downloadable instruction package including the retrieved solution based on source information of the remote terminal; and providing the downloadable instruction package to the remote terminal. | 10-31-2013 |
| 20130290235 | ADAPTIVE CONTENT INSPECTION - Methods and apparatus are provided involving adaptive content inspection. In one embodiment, a content inspection processor may identify information with respect to input data and provide the information to a host controller. The host controller may adapt search criteria or other parameters and provide the adapted parameter to the content inspection processor. Other embodiments may include a content inspection processor having integrated feedback, such that results data is fed back to the content inspection processor. The results data may be processed before being provided to the content inspection processor. | 10-31-2013 |
| 20130290236 | METHOD FOR INFERRING ATTRIBUTES OF A DATA SET AND RECOGNIZERS USED THEREON - A method for inferring, without supervision, information about a data set and/or recognizers that are operated thereon. The recognizers are modules that are capable of analyzing, interpreting and labeling raw data of the data set with a label, which is a cognitive or substance-based identifier of the data, for instance, identifying peaks, troughs, patterns and trends of particular significance. The method infers the information about the data set and/or the recognizers based on the observable outputs of each recognizer and a mathematical means of reconciling the agreement/disagreement of the outputs. The method operates without need for knowledge of the correct label to be applied to the data set by each of the recognizers, such as a test set or prior knowledge of the accuracy of the recognizer. | 10-31-2013 |
| 20130297544 | Reuse of On-Demand Enterprise System Customization Knowledge Utilizing Collective Experience - Systems and methods allow sharing and reuse of acquired customization knowledge of enterprise systems, utilizing collective customization experience. Particular embodiments employ Case-Based Reasoning (CBR) principles to manage customization experience in the context of both Software as a Service (SaaS) and Platform as a Service (PaaS) environments. Collective customization knowledge may be explicitly retrieved, adapted, shared, reused, and/or traded between tenants, partners, and optionally provider(s), of on-demand enterprise systems. A previous customization case stored within an experience base, may include one or more of the following: information allowing annotation of price information for trading the previous customization case (e.g. to another tenant); information restricting visibility of the previous customization case within the experience base; information defining a rating for the previous customization case within a community; information capturing a reuse frequency of the previous customization case; and/or information rendering anonymous at least a portion of the previous customization case. | 11-07-2013 |
| 20130297545 | METHOD AND APPARATUS FOR IDENTIFYING CUSTOMER SERVICE AND DUPLICATE QUESTIONS IN AN ONLINE CONSULTATION SYSTEM - Embodiments of the present invention further provide systems and methods for creating search engine optimized titles representing the relevant content of a document where the title is of the appropriate character length such that search engines will view and index the entire title. | 11-07-2013 |
| 20130297546 | GENERATING SYNTHETIC SENTIMENT USING MULTIPLE TRANSACTIONS AND BIAS CRITERIA - A system is presented that provides sentiment analysis technology that takes into account the perspective or context of the individual or entity for which the sentiment analysis is being performed. Using multiple points of reference within a hierarchical head noun structure (containing head nouns of root terms and possibly dependent terms), the structure allows the system to return different outcomes depending on a user query specifying one or more head nouns to be taken as reference points for sentiment calculations. As a result, an appropriate context for sentiment analysis is determined which takes into account the perspective/context associated with the individual or entity for which the analysis is performed. | 11-07-2013 |
| 20130297547 | AGGREGATE CONTEXT INFERENCES USING MULTIPLE CONTEXT STREAMS - Methods, systems, computer-readable media, and apparatuses for inferring context are provided. In one potential implementation, first context information associated with a first duration is identified, second context information is accessed to determine a context segmentation boundary; and the first context information and the second context information is then aggregated to generate an inferred segmented aggregated context. In a further implementation, the first context information is used to average inferred contexts, and the context segmentation boundary is used to reset a start time for averaging the first context information. | 11-07-2013 |
| 20130297548 | Method For Operating A Programmable Logic Controller - A method is disclosed for operating a programmable logic controller which executes program(s) based on cycles having a predetermined cycle time in a predefined memory. An automated reasoning method based on an ontology and a description logic is implemented in the programmable logic controller. To enable this, at least the concepts and roles of the ontology are encoded using index numbers and the axioms of the ontology are encoded using tuples of integral index numbers. The automated reasoning method is interrupted before the end of a cycle and subsequently resumed at the current status of program execution. This allows for the cyclic programming paradigm of a programmable logic controller. The method can be used for any types of programmable logic controller, e.g., controllers of devices belonging to an automation system or energy generation devices. In such scenarios the automated reasoning method may be used for diagnosing the corresponding devices. | 11-07-2013 |
| 20130297549 | TRAVEL PROCESS PREDICTION SYSTEM, TRAVEL PROCESS PREDICTION APPARATUS AND NON-TRANSITORY RECORDING MEDIUM - An information acquiring apparatus acquires, when a travel object such as a traveler travels with transportation, passage time at which the travel object passes through each passage point at a departure/arrival facility, transportation specifying information indicating transportation, situation information indicating a situation and so forth. The travel process prediction apparatus stores the acquired information in an associated manner, and obtains a regression equation representing the relationship between items included in the transportation specifying information or situation information and passage time at a specific passage point, elapsed time while the travel object passes through two specific passage points or a result of comparison between the passage time and boarding completion time. The travel process prediction apparatus calculates a predicted value of future passage time, elapsed time or a result of comparison by substituting the content of the expected transportation specifying information or situation information for the regression equation. | 11-07-2013 |
| 20130304686 | METHODS AND SYSTEMS FOR PERSONALIZING USER EXPERIENCE BASED ON ATTITUDE PREDICTION - The disclosure herein relates to a system and method for personalizing an online experience of a user based on the user's attitude. Attitude models are constructed from user activity data that are able to infer or determine attitudes for a user. Based on the attitudes derived from applying the attitude models, attitude profiles are created for the users. As a users engage in various types of online interactions, the attitude profiles associated with the users can be utilized to personalize the online experience of the user. | 11-14-2013 |
| 20130304687 | Identifying Categorized Misplacement - The present disclosure provides methods and devices for identifying category misplacement. In one embodiment, an example device obtains a word frequency of each respective word in a product title under a current category, calculates an overall word frequency of the product title under the current category based on the word frequency of each respective word under the current category, and compares the overall word frequency of the product title with a threshold of the current category to determine an existence of category misplacement. The techniques can accurately identify category misplacement and reduce the probability of missing identifying category misplacement. The techniques also require less system resources and improve calculation efficiency. | 11-14-2013 |
| 20130304688 | APPARATUS, PROGRAM, AND METHOD FOR SOLVING MATHEMATICAL PROGRAMMING PROBLEM - An apparatus and method for solving mathematical programming problems. The apparatus includes a first-time-point-solution generating unit generating at least one solution to a mathematical programming problem, a second-time-point-problem generating unit generating a plurality of mathematical programming problems to be on the basis of the solution to the mathematical programming problem to be solved at the first time point, a second-time-point optimum value calculating unit calculating an optimum value of each of a plurality of mathematical programming problems to be solved at the second time point, a relational expression estimating unit estimating a relational expression between the solution to the mathematical programming problem to be solved at the first time point and an optimum value of a mathematical programming problem to be solved at the second time point, and a correcting unit correcting the mathematical programming problem at the first time point based on the relational expression. | 11-14-2013 |
| 20130304689 | Personalized Entertainment System - A method of operating an entertainment system includes computer-implemented steps including accessing a remote electronic collection of audio/video recordings. The collection is associated with a user of the entertainment system. The recordings in the collection are analyzed to thereby determine an audio/video preference profile of the user. Electronic audio/video options of the entertainment system that conform to the user's preference profile are selected and offered to the user. | 11-14-2013 |
| 20130311416 | RECOMMENDING TRAINING PROGRAMS - A method, a system, and a computer program product for recommending one or more training programs to a user. The method includes determining a first set of skills associated with a user profile. One or more jobs are identified based on the user profile and the first set of skills. Thereafter, a second set of skills associated with the one or more jobs is determined. Subsequently, a third set of skills representing a gap between the first set of skills and the second set of skills is determined. Based on the third set of skills the one or more training programs are recommended to the user. | 11-21-2013 |
| 20130311417 | OPERATING DEVICE FOR IN-VEHICLE INFORMATION EQUIPMENT - In an operating device for restricting the operation while driving, for in-vehicle information equipment, it has load detection units for detecting a driving load on an operator, an operation extraction unit (an operable range-determining unit) for extracting an operation which can be completed under the circumstances of the detected driving load, and a control unit for making only the extracted operation operable. | 11-21-2013 |
| 20130311418 | METHOD FOR PLANNING TRIPS TO TRANSPORT PASSENGERS - A method for planning trips to transport passengers on the basis of a preferably statistical predictive model, in particular to plan capacities, optimize the utilization of vehicle fleets, determine the routes to be taken, etc., preferably in short-distance passenger traffic, wherein the predictive model takes into account, using parameters, characteristic passenger patterns over the course of a day, week, and/or year, is characterized in that the predictive model additionally uses weather-specific parameters. | 11-21-2013 |
| 20130318021 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - There is provided an information processing apparatus including an experience information extracting unit that extracts experience information which is information regarding an experience, from text data input from a user, an item selecting unit that performs at least one of extraction and priority setting of an item to be provided to the user, based on the extracted experience information, and a provision control unit that controls provision of the item to the user, based on a result of the extraction or the priority setting of the item. | 11-28-2013 |
| 20130318022 | Predictive Analytics for Information Technology Systems - Disclosed is a method and apparatus for organizing, correlating IT management data in batch mode as well as real time and doing predictive analytics to indicate possible threshold breaches, possible failures and usage bottlenecks in the systems in an information technology (IT) environment. The system and method further predicts the state of the information technology (IT) system components systematically based on current and past system states and system component states, overall systemic behavior, known system behavioral rules and load conditions /usage characteristics. | 11-28-2013 |
| 20130318023 | UPDATING POLICY PARAMETERS UNDER MARKOV DECISION PROCESS SYSTEM ENVIRONMENT - Embodiments relate to updating a parameter defining a policy under a Markov decision process system environment. An aspect includes updating the policy parameter stored in a storage section of a controller according to an update equation. The update equation includes a term for decreasing a weighted sum of expected hitting times over a first state (s) and a second state (s′) of a statistic on the number of steps required to make a first state transition from the first state (s) to the second state (s′). | 11-28-2013 |
| 20130318024 | BEHAVIORAL TARGETING SYSTEM - A behavioral targeting system determines user profiles from online activity. The system includes a plurality of models that define parameters for determining a user profile score. Event information, which comprises on-line activity of the user, is received at an entity. To generate a user profile score, a model is selected. The model comprises recency, intensity and frequency dimension parameters. The behavioral targeting system generates a user profile score for a target objective, such as brand advertising or direct response advertising. The parameters from the model are applied to generate the user profile score in a category. The behavioral targeting system has application for use in ad serving to on-line users. | 11-28-2013 |
| 20130325779 | RELATIVE EXPERTISE SCORES AND RECOMMENDATIONS - Content recommendations customized to a user's knowledge are provided. The user's knowledge is assessed from the user's activity history and the expertise of the user regarding each of the various topics relative to a cohort group is determined. Based on the user's score, the user can be classified into various competency levels ranging from a novice to an expert in each topic. Content items for improving the user's scores in the various topics can be forwarded based on the user's classification and activity history. If the user is recognized as an expert in a particular topic, questions from other users regarding the particular topic can be directed to the user for the responses. | 12-05-2013 |
| 20130325780 | PREDICTIVE LOCATIONS BASED ON CONTEXT - Systems, methods, and devices use search terms, current state information, historical data, and expected location hints to predict where a user may be when a search may be relevant. In an embodiment, search terms entered on a first user computing device may be combined with location information resident on a second user computing device to determine where a user is likely to be and what results are likely to be relevant to a user in the future. In a further embodiment, relevant search terms indicative of time, such as “tomorrow” or “tonight,” and/or user-related information may also be used to return predictive search results. In a further embodiment, user-related information from other users may also be used to return predictive search results. | 12-05-2013 |
| 20130325781 | Tensor trace norm and inference systems and recommender systems using same - A convex regularized loss function is minimized respective to a prediction tensor of order K to generate an optimized prediction tensor of order K where K>2. The convex regularized loss function comprises a linear combination of (i) a loss function comparing the prediction tensor and an observation tensor of order K representing a set of observations and (ii) a regularization parameter including a K-th order matrix norm decomposition of the tensor trace norm of the prediction tensor. In some such embodiments, the observation tensor of order K represents a set of social network observations and includes at least dimensions corresponding to (1) users, (2) items, and (3) tags. The optimized prediction tensor of order K is suitably used to perform inference operations. | 12-05-2013 |
| 20130325782 | LATENT VARIABLE MODEL ESTIMATION APPARATUS, AND METHOD - To provide a latent variable model estimation apparatus capable of implementing the model selection at high speed even if the number of model candidates increases exponentially as the latent state number and the kind of the observation probability increase. A variational probability calculating unit | 12-05-2013 |
| 20130325783 | PROVIDING EVENT-PROCESSING RULES - A method and system are provided for providing event-processing rules in an event-processing environment. The method includes providing at least one generalised event-processing rule to a customer, receiving customer input of rule customization to produce a customized rule, and storing the customized rule in Polish notation for processing using stack-based processing. The method also includes receiving notification of an event for a customer, retrieving a customized rule relating to the customer, and processing the customized rule using stack-based processing. | 12-05-2013 |
| 20130325784 | Method of Analyzing a Scenario Represented as Elements of a Tensor Space, and Scored Using Tensor Operators - A mathematical model to represent multiple role events of a threat scenario, and a methodology to score the events given the data or evidence contained in a knowledge base is provided. The multiple role event can include any action encompassed by an independent clause having multiple syntactical roles (subject, object, location, etc . . . ) and containing multiple entities (person A, person B, object C, place D, etc . . . ). Multiple role events are represented as elements of a tensor space, and are scored using tensor operators built from the semantic graph associated with the knowledge base. | 12-05-2013 |
| 20130325785 | COMPUTERIZED SYSTEM FOR MONITORING AND CONTROLLING PHYSICAL DATA-PRODUCING APPARATUS - A computerized system for monitoring physical data for anomalies, which physical data are predictable given predetermined information, the system comprising a predetermined information data point generator operative to compute a sequence of model data points which the physical data, given predetermined information, can be expected to duplicate at each of a corresponding sequence of temporal sampling points; a wayward point monitor including a processor operative for monitoring the physical data including identifying wayward points within said physical data that are incongruous with the predetermined information; and an anomalous episode-prompted alarm generator operative for identifying anomalous episodes, each including a cluster of wayward points satisfying predefined anomalous episode-defining criteria and generating an alarm for each anomalous episode identified. | 12-05-2013 |
| 20130332402 | ON-DEMAND SUGGESTION FOR VEHICLE DRIVING - A method of on-demand suggestion for vehicle driving which includes: providing a centralized vehicle driving knowledgebase containing previously-stored information pertaining to vehicle driving situations; responsive to a request for information pertaining to navigating a particular road situation, collecting current parameters pertaining to a current vehicle driving situation; providing the current parameters to the centralized vehicle driving knowledgebase; evaluating the current parameters with respect to the information previously stored in the centralized vehicle driving knowledgebase; and providing at least one suggestion to a vehicle for navigating the particular road situation. Also included is a computer program product for providing an on-demand suggestion for vehicle driving and a vehicle helping system. | 12-12-2013 |
| 20130332403 | LEVERAGING ANALYTICS TO PROPOSE CONTEXT SENSITIVE WORKFLOWS FOR CASE MANAGEMENT SOLUTIONS - A knowledge base is built for a case management system. A case content comprising all incoming documents of the case and all collaborative activities associated with the case is built. Text analytics are performed on the case content. An identification of all the knowledge workers working on the case is linked to the case content. The case content, the text analytics and the identification of all knowledge workers working on the case are then stored in a memory. | 12-12-2013 |
| 20130339283 | STRING PREDICTION - In a mobile device, the text entered by users is analyzed to determine a set of responses commonly entered by users into text applications such as SMS applications in response to received messages. This set of responses is used to provide suggested responses to a user for a currently received message in a soft input panel based on the text of the currently received message. The suggested responses are provided before any characters are provided by the user. After the user provides one or more characters, the suggested responses in the soft input panel are updated. The number of suggested responses displayed to the user in the soft input panel is limited to a total confidence value to reduce user distraction and to allow for easier selection. An undo feature for inadvertent selections of suggested responses is also provided. | 12-19-2013 |
| 20130339284 | PREDICTED SOFTWARE USAGE DURATION - Techniques to predict software usage duration are disclosed. Software usage duration data indicating for each of a plurality of systems a duration of usage of an application or other software on that system is received. The software usage duration data is used to determine a predicted software usage duration for the application or other software. | 12-19-2013 |
| 20130346352 | CONSUMER DECISION TREE GENERATION SYSTEM - A system generates a consumer decision tree (“CDT”). The system receives customer purchasing data that includes transactions of a plurality of products each having at least one product attribute. For a product category, the system identifies a plurality of similar products from the purchasing data and one or more attributes corresponding to each similar product. The system assigns the product category as a current level of the CDT, and determines a most significant attribute of the plurality of attributes for the current level. The system forms a next level of the CDT by dividing the most significant attribute into a plurality of sub-sections, where each sub-section corresponds to an attribute value of the most significant attribute. The system then forms a next level of the CDT for each sub-section until a terminal node is identified. | 12-26-2013 |
| 20130346353 | APPARATUS AND METHOD FOR PROVIDING COLLABORATION SERVICE BASED ON COMPOSITE BEHAVIOR - An apparatus for generating a collaboration application includes a state chart configured to have tasks for a variety of states; and a coordinator configured to provide a collaboration service using a collaboration application, wherein the collaboration application comprises a task connected to composite behavior of a tree structure and a state to perform the tasks, the tree structure having a parent behavior and a child behavior on a basis of the state chart. | 12-26-2013 |
| 20140006325 | DETECTING ANOMALIES IN REAL-TIME IN MULTIPLE TIME SERIES DATA WITH AUTOMATED THRESHOLDING | 01-02-2014 |
| 20140006326 | METHOD AND APPARATUS FOR PROVIDING RAPPORT MANAGEMENT | 01-02-2014 |
| 20140006327 | PROGRAMMATICALLY IDENTIFYING BRANDING WITHIN ASSETS | 01-02-2014 |
| 20140006328 | METHOD OR SYSTEM FOR RANKING RELATED NEWS PREDICTIONS | 01-02-2014 |
| 20140006329 | Providing Resource Consumption Recommendations | 01-02-2014 |
| 20140006330 | DETECTING ANOMALIES IN REAL-TIME IN MULTIPLE TIME SERIES DATA WITH AUTOMATED THRESHOLDING | 01-02-2014 |
| 20140006331 | POWER PREDICTION FOR NEWLY ADDED WIND TURBINE | 01-02-2014 |
| 20140006332 | Scientometric Methods for Identifying Emerging Technologies | 01-02-2014 |
| 20140012790 | METHOD AND SYSTEM FOR SUPPORTING A CLINICAL DIAGNOSIS - A method and system for supporting a clinical diagnosis is provided, the method including the steps of representing a patient by a plurality of initial symptoms, the symptoms including characteristics of the patient; determining, by querying and reasoning in a disease-symptom knowledge model, at least one likely disease for each of the plurality of initial symptoms; mapping the plurality of initial symptoms onto a set of said likely diseases; determining for each disease of said set of likely diseases a plurality of associated symptoms, the associated symptoms being associated to a respective disease of said set of likely diseases in said disease-symptom knowledge model; categorizing each of the plurality of associated symptoms into disjoint categories by mapping associated symptoms with initial symptoms; and representing likely diseases in the context of said categories of associated symptoms. | 01-09-2014 |
| 20140012791 | SYSTEMS AND METHODS FOR SENSOR ERROR DETECTION AND COMPENSATION - A sensor error detection and compensation system is disclosed. The system may have a sensor state estimation module that is configured to generate a physical sensor confidence value representing an accuracy estimation of a physical sensor output value received from a physical sensor. The system may also have a sensor output aggregation module configured to determine an aggregated sensor value based on the physical sensor confidence value, the physical sensor output value, a virtual sensor output value received from a virtual sensor, and a virtual sensor confidence value representing an accuracy estimation of the virtual sensor output value. Moreover, the system may have a replace sensor decision module configured to determine whether the physical sensor has failed by comparing the physical sensor confidence value to a replacement threshold level. | 01-09-2014 |
| 20140012792 | SYSTEMS AND METHODS FOR BUILDING A VIRTUAL SOCIAL NETWORK - A system for establishing a virtual social network including at least one emotion detector and a processing module is provided. The emotion detector detects emotional reactions of a plurality of users while they are watching a video to generate a plurality of detection signals. The processing module analyzes the detection signals to obtain emotion data corresponding to a plurality of time indices in the video, and analyzes content of the video to obtain metadata corresponding to the time indices in the video. Also, the processing module classifies the users into social groups according to the emotion data and the metadata. | 01-09-2014 |
| 20140012793 | SYSTEM AND METHOD FOR PREDICTING SURGERY PROGRESS STAGE - System and method for predicting a surgery progress stage according to the present disclosure sense a surgery motion pattern according to a surgery motion, store surgery stage information according to the kind of surgery and pattern information of major surgery motions of each surgery stage, determine a present surgery motion pattern corresponding to the sensed surgery motion pattern from the surgery motion pattern information stored in the data storing unit, and predict a surgery stage corresponding to the determined present surgery motion pattern based on the surgery stage information stored in the data storing unit. | 01-09-2014 |
| 20140012794 | PERSONAL TASTE ASSESSMENT METHOD AND SYSTEM - A personal taste assessment system receives a person's ratings for various rated items, such as wines or other beverages, and it develops a preference model for the person based on the received ratings. When developing the preference model, the system accesses a database of candidate items, wherein each candidate item is associated with at least one trait value. The system retrieves from the database a value for at least one trait for each of the rated items, identifies at least one pattern of dependency between at least one of the retrieved trait values and at least one of the received ratings, and determines a preference model based on the at least one pattern of dependency. The system may use the preference model to develop a preference profile for the person, make recommendations, and/or make predictions as to items that the person and/or a group that includes the person may enjoy. | 01-09-2014 |
| 20140019396 | INSULIN DOSAGE ASSESSMENT AND RECOMMENDATION SYSTEM - A computer-implemented method is presented for recommending insulin dosage adjustments for a patient having diabetes. The method includes: identifying a plurality of bolus events from patient data; grouping bolus events having a recommended bolus dosage substantially equivalent to the amount of administered insulin into a first subset of bolus events; determining a bolus outcome for each of the bolus events in the first subset of bolus events, where the bolus outcome is expressed in relation to a target range of blood glucose values and is selected from a group including above the target range, in the target range and below the target range; determining whether one of the bolus outcomes is predominant amongst the bolus events in the first subset of bolus events; and generating a recommendation pertaining to insulin dosage for the patient in response to a determination that one of the bolus outcomes is predominant. | 01-16-2014 |
| 20140019397 | SYSTEM AND METHOD FOR EFFICIENT DATA COLLECTION IN DISTRIBUTED SENSOR MEASUREMENT SYSTEMS - Endpoint device, central data collection point, and associated methods for collecting data over a communication network between endpoints and the central collection point. Actual measurements from a sensor are obtained by the endpoint device at a relatively fine time granularity. The endpoint device generates reports for receipt by a central data collection point. The reports include regular reports containing a portion of the actual measurements representing sensor measurements at a relatively coarse time granularity, and exception reports, containing information representing one or more of the actual measurements that differ in frequency or granularity of regular report measurements. Each of the exception reports is generated in response to a determination that at least one of the actual measurements differs from a predicted value for that at least one of the one or more actual measurements by an amount that exceeds a pre-established limit. | 01-16-2014 |
| 20140019398 | PROACTIVE EVENT DRIVEN COMPUTING - A method for predicting a future situation based on an analysis of at least one predictive pattern. The method comprises monitoring a plurality of events carried out by an event processing component, detecting a predictive pattern predictive of a future situation, selecting one of a plurality of proactive actions and an execution time according to its effect on at least one of a probability of occurrence and a cost of occurrence of the future situation, and outputting the selected proactive action. | 01-16-2014 |
| 20140019399 | SYSTEM AND METHOD FOR AUTOMATICALLY PREDICTING THE OUTCOME OF EXPERT FORECASTS - Systems and methods are provided that predict the accuracy of expert forecasts based on a corpus of prior expert forecasts. Expert forecasts (also referred to as opinions) are analyzed and processed to determine an opinion and related positions expressed by the expert. Each opinion is combined with relevant industry information to create a structured model for the opinion. A plurality of structured models for a given expert are then analyzed along with information related to the actual outcome of prior predictions to create a decision model for the particular expert. A new opinion issued by an expert is then analyzed using the decision model for that expert to predict the accuracy of the new opinion from the expert. Recommended actions in accordance with or against the new expert opinion may then be provided. | 01-16-2014 |
| 20140025616 | STRING PREDICTIONS FROM BUFFER - In a mobile device, the strings that make up a current thread in application are stored in a buffer. A thread is a series of communications sent between a user of the mobile device and one or more other users, such as a series of text messages or a series of emails. When the user enters text to continue the current thread, characters of the entered text are compared against the strings stored in the buffer, and strings that have the entered text as a prefix are selected and displayed to the user as string predictions in a soft input panel. Alternatively, the strings in the buffer may be used to increase the probabilities of matching strings in a dictionary or model that is used to select string predictions. | 01-23-2014 |
| 20140025617 | DETERMINING SOFT GRAPH CORRESPONDENCE - A method for determining a correspondence between a first node set of a first graph and a second node of a second graph includes building a feature representation for each of the first graph and the second graph, and inferring the correspondence between the first node set and the second node set based on the feature representations. | 01-23-2014 |
| 20140025618 | SYSTEM AND METHOD FOR COMPOSITE DISTANCE METRIC LEVERAGING MULTIPLE EXPERT JUDGMENTS - A system and method for a composite distance metric leveraging multiple expert judgments includes inputting a data distribution of multiple expert judgments stored on a computer readable storage medium. Base distance metrics are converted into neighborhoods for comparison, wherein each base distance metric represents an expert. The neighborhoods are combined to leverage the local discriminalities of all base distance metrics by applying at least one iterative process to output a composite distance metric. | 01-23-2014 |
| 20140032467 | SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE SCRIPT MODIFICATION - Systems and methods for modifying content for interactive synthetic characters are provided. In some embodiments, a traversable script for an interactive synthetic character may be modified based on a set of analytics relating to the use of the interactive synthetic character. These uses may include words spoken by the user, language spoken, user demographics, length of interactions, visually detected objects, current environmental conditions, or location. The traversable script may include a set of conversation rules that include actions to be performed by the interactive synthetic character. The actions can include, for example, producing audible or textual speech, performing one or more animations, playing one or more sound effects, retrieving data from one or more data sources, and the like. The traversable script can be modified, customized, or improved based on the feedback from the use of the character by a plurality of users. The modifications may happen automatically or be reviewed by a content creator using a graphical user interface. | 01-30-2014 |
| 20140032468 | PREDICTING USER ACTIVITY BASED ON USAGE DATA RECEIVED FROM CLIENT DEVICES - A system for determining an interest of a user based on usage data is provided. Usage data corresponding to a plurality of websites accessed by a user is received from one or more computing devices of the user. The received usage data is categorized into a plurality of categories based on character strings that reference the individual websites. What content items from individual websites the user has selected to view is recorded in order to identify one or more items of interest. An activity of the user at a given time period is predicted based on the categorizations, the identified one or more items of interest, and times and duration of times the user viewed the individual websites. The system performs an action at the given time period based on the predicted activity. | 01-30-2014 |
| 20140032469 | ESTIMATING POTENTIAL MESSAGE VIEWING RATES OF TWEETS - A method of estimating a viewing rate of a targeted message in a multicast messaging system is disclosed. A processor may be used to determine a first probability that at least one follower selects a received multicast message that accesses the targeted message using a processor. A second probability is calculated for the probability that the at least one follower accesses the targeted message from the selected multicast message. A third probability that the at least one follower views the targeted message is determined from the first probability and the second probability to determine the viewing rate of the targeted message. A message may be targeted for sending over the multicast messaging system at a time selected based on the determined third probability. | 01-30-2014 |
| 20140046886 | Modeling Dynamic Graphs With Binary Decision Diagrams - In one embodiment, a dynamic graph having a plurality of nodes is modeled with a Binary Decision Diagram (BDD). Each pair of nodes in the dynamic graph is modeled using a characteristic function, g({right arrow over (t)};{right arrow over (a)};{right arrow over (b)}), where: {right arrow over (t)} denotes a time; a denotes {right arrow over (a)} first node identifier; {right arrow over (b)} denotes a second node identifier; and g evaluates to 1 (or TRUE) if and only if an edge exists and connects nodes {right arrow over (a)} and {right arrow over (b)} at time {right arrow over (t)}. The BDD is a combination of all the characteristic functions corresponding to all unique pairs of nodes in the dynamic graph. | 02-13-2014 |
| 20140046887 | Inferring User Family Connections from Social Information - A social networking system infers family connections between a target user and one or more additional social networking system users based on information stored by the social networking system about the target user and the target user's connections. The inferred connections may be sent to the target user for verification and stored by the social networking system if confirmed by the target user. Stored connection information about a set of users connected to the target user may be used to infer connections between the target user and subject users connected to one or more of the users connected to the target user. | 02-13-2014 |
| 20140046888 | NAVIGATION SYSTEM WITH COLLECTION MECHANISM AND METHOD OF OPERATION THEREOF - A method of operation of a navigation system includes: determining a social indicator for identifying a social relationship; adjusting a collection scope based on the social indicator for monitoring a user's behavior; collecting a user's information based on the collection scope; and generating a notification based on the user's information for displaying on a device. | 02-13-2014 |
| 20140046889 | HYPOTHESIS-DRIVEN, REAL-TIME ANALYSIS OF PHYSIOLOGICAL DATA STREAMS USING TEXTUAL REPRESENTATIONS - A method of analyzing physiological data streams. According to the method, physiological data is received into a computerized machine. The physiological data comprises numerical data and medical symptoms of a patient. Features are extracted from the physiological data based on development of the physiological data over a period of time. The features are converted into a textual representation using natural language generation. Input terms for an information retrieval system operating on the computerized machine are automatically generated based on the features. The input terms are input to the information retrieval system. A corpus of data is automatically searched to retrieve results to the input terms using the information retrieval system. | 02-13-2014 |
| 20140046890 | HYPOTHESIS-DRIVEN, REAL-TIME ANALYSIS OF PHYSIOLOGICAL DATA STREAMS USING TEXTUAL REPRESENTATIONS - A method of analyzing physiological data streams. According to the method, physiological data is received into a computerized machine. The physiological data comprises numerical data and medical symptoms of a patient. Features are extracted from the physiological data based on development of the physiological data over a period of time. The features are converted into a textual representation using natural language generation. Input terms for an information retrieval system operating on the computerized machine are automatically generated based on the features. The input terms are input to the information retrieval system. A corpus of data is automatically searched to retrieve results to the input terms using the information retrieval system. | 02-13-2014 |
| 20140046891 | Sapient or Sentient Artificial Intelligence - A method for creating an artificial intelligence entity, specifically an artificial intelligence that is sentient and sapient is provided. The invention is capable of intelligence, human interaction, adaptive/modifiable code and thought, reasoning, learning; autonomous self-organization based on environment changes, interaction, and/or internal activity only; and other advance features. This permits a non-human, including a computer software entity, to become conscious or self-aware and interact, with the ability for sapience and understanding, as if it were human. It also has the ability to integrate with other electronic, non-electronic, or suitable devices. | 02-13-2014 |
| 20140046892 | METHOD AND SYSTEM FOR VISUALIZING INFORMATION EXTRACTED FROM BIG DATA - The various embodiments herein describe a method for providing information visualization comprising identifying a plurality of events from a big data, calculating a temporal distance between at least two events, calculating a semantic distance between the at least two events, storing the calculated semantic distance and the temporal distance with respect to the at least two events in a data structure, providing the semantic distance and the temporal distances calculated between the at least two events on a visual representation, identifying one or more relevant events with respect to the target event based on the semantic distance and the temporal distance through visualization, selecting a plurality of events that influence the target event and examining a pattern of the plurality of events to realize possible collinearity of the events to further reduce the influencing events in order to facilitate feature selection through visualization. | 02-13-2014 |
| 20140046893 | GENERATING A TRAINING MODEL BASED ON FEEDBACK - A method and apparatus for generating a training model based on feedback are provided. The method for generating a training model based on feedback, includes calculating an eigenvector of a sample among a plurality of samples; obtaining scores granted by a user for one or more of the plurality of samples in a round, obtaining scores granted by the user for a first number of samples; obtaining scores granted by the user for a second number of samples in response to detecting, based on the eigenvector, an inconsistency between the scores granted by the user for the first number of samples; and generating a training model based on the scores granted by the user for the first and second numbers of samples. A corresponding apparatus is also provided. | 02-13-2014 |
| 20140052680 | Method, System and Device for Inferring a Mobile User's Current Context and Proactively Providing Assistance - A device, method and system for automatically inferring a mobile user's current context includes applying a user activity knowledge base to real-time inputs and stored user-specific information to determine a current situation. Automated reasoning is used to infer a user-specific context of the current situation. Automated candidate actions may be generated and performed in accordance with the current situation and user-specific context. | 02-20-2014 |
| 20140052681 | Method, System and Device for Inferring a Mobile User's Current Context and Proactively Providing Assistance - A device, method and system for automatically inferring a mobile user's current context includes applying a user activity knowledge base to real-time inputs and stored user-specific information to determine a current situation. Automated reasoning is used to infer a user-specific context of the current situation. Automated candidate actions may be generated and performed in accordance with the current situation and user-specific context. | 02-20-2014 |
| 20140052682 | USING PHYSICAL SENSORY INPUT TO DETERMINE HUMAN RESPONSE TO MULTIMEDIA CONTENT DISPLAYED ON A MOBILE DEVICE - A mobile handset device collects sensor data about the physiological state of the user of the handset. The mobile handset device receives multimedia content, which is consumed on the mobile handset. In a deployment phase, the sensor data is used to classify the user's emotional response to individual pieces of media content consumed on the mobile device. A classification model built in a training phase may be used to map sensor data to classification labels indicative of the user's emotional response to multimedia. | 02-20-2014 |
| 20140052683 | RECOMMENDING NATIVE APPLICATIONS - In one implementation, a computer-implemented method includes accessing, by a computer system, information that describes use of one or more computer-based services by a particular user from one or more computing devices that are associated with the particular user; identifying one or more native applications that are associated with the one or more services, wherein the one or more native applications are configured to be installed and executed by one or more types of mobile computing devices; determining whether to recommend the one or more native applications based on the information and one or more threshold levels of use of the one or more computer-based services; and providing, based on the determining, a recommendation that is associated with the particular user and that identifies at least one of the one or more native applications. | 02-20-2014 |
| 20140052684 | SYSTEM AND METHOD FOR FORMING PREDICTIONS USING EVENT-BASED SENTIMENT ANALYSIS - In embodiments, a sentiment analyzer identifies a first event and accesses a first set of messages. The sentiment analyzer associates the first set of messages with the first event and analyzes the messages to identify a set of sentiment features. The set of sentiment features is used to analyze a second set of messages to form a prediction associated with a second event. The prediction may be used to facilitate an event-related service. | 02-20-2014 |
| 20140058992 | CHARACTERIZING MOTION PATTERNS OF ONE OR MORE AGENTS FROM SPATIOTEMPORAL DATA - Techniques are described to characterize motion patterns of a group of agents engaging in an activity. An analysis system receives input data associated with spatial and temporal information of at least one element of interest associated with the activity, where the object of interest may be a ball, person, animal or any other object in motion. The analysis system partitions the input data into a plurality of spatiotemporal segments and generates one or more representations of one or more sets of segments of the plurality of spatiotemporal segments based on one or more criteria. The analysis system computes a metric, such as an entropy value, for each of the one or more representations. Partial tracing data, such as ball movements in a sporting event, may be created using an inexpensive input device, such as a tablet computer, making the disclosed techniques available for a wide range of events and activities. | 02-27-2014 |
| 20140058993 | HIGH-SPEED DECISION APPARATUS AND METHOD FOR HARMFUL CONTENTS - A high-speed decision apparatus and method for harmful contents, capable of determining whether contents are harmful by performing a harmfulness determination operation on only some sections, rather than all sections, of the content, based on the content playback characteristic that when content having a harmful part is played, the harmful part continues to be played for a certain period of time. | 02-27-2014 |
| 20140058994 | METHOD AND APPARATUS FOR SELECTIVE SHARING OF SEMANTIC INFORMATION SETS - An approach is provided for selective sharing of semantic information sets in a smart space interoperable across platforms, devices, and equipment. A personal smart space application creates a personal information space for a user, wherein the personal information space includes a plurality of semantic information sets. Thereafter, the personal smart space application receives a request for selective sharing of the semantic information sets, and merges, in response to the request, a projection of the selected semantic information sets into a shared information space. | 02-27-2014 |
| 20140067744 | SYSTEM AND METHOD FOR DETERMINING A VALUE OF INFORMATION METRIC FROM A POSTERIOR DISTRIBUTION GENERATED THROUGH STOCHASTIC INVERSION - A system and a computer implemented method for determining a value of information are described herein. The method includes drawing a plurality of synthetic prior earth models from one or more prior distributions for a plurality of well locations and generate from each prior distribution synthetic data; and drawing a plurality of posterior earth models from a posterior distribution for the plurality of well locations, the posterior distribution being generated through stochastic inversion from the synthetic data and the plurality of posterior models are drawn from each of the plurality of prior earth models. The method further includes calculating a difference or a ratio between a weighted value prior and a weighted value posterior and calculating a sum over a plurality of well locations of the difference or the ratio to obtain the value of information. | 03-06-2014 |
| 20140067745 | TARGETED AGRICULTURAL RECOMMENDATION SYSTEM - Methods, apparatuses and computer program products are provided for providing targeted recommendations of agricultural inputs based on a given localized usage context. Methods are provided that include receiving one or more indications of the localized usage context, determining one or more suggested agricultural inputs based on the usage context, and causing the one or more suggested agricultural inputs to be provided. In the context of a further method, a plurality of usage scenarios may be presented for selection, each of the usage scenarios being associated with one or more additional indications of the localized usage context. According to an additional method, probabilities of achieving target and minimum acceptable yields may be determined and presented along with the usage scenarios, thereby allowing a user to select one or more usage scenarios in order to receive the input recommendations based thereon. | 03-06-2014 |
| 20140067746 | APPARATUS FOR MANAGING USER-CENTRIC CONTEXT AND METHOD THEREOF - Disclosed are an apparatus and method for managing user-centered context, the apparatus including a sensor level unit including a plurality of sensors to transmit respective pieces of first context collected from the plurality of sensors, a domain level unit including a plurality of domain context management modules (domain_U-CoUDE) to produce a first inferred context by aggregating and inferring a corresponding second context among the respective pieces of first context by use of a context model and transmit the produced first inferred context, and a user level unit including a plurality of user context management modules (user_U-CoUDE) to produce and transmit a second inferred context by aggregating and inferring the first inferred context by use of the context model, so that different forms of context generated from various domains are converted into a standardized from, thereby providing and using the context in a more efficient manner. | 03-06-2014 |
| 20140074762 | SYSTEMS AND METHODS FOR MONITORING AND ANALYZING TRANSACTIONS - A system for performing FRIAR Code-based adjudication includes a FRIAR Code processor configured to match an extracted FRIAR identified element against a Knowledge Base set of reference FRIAR identified elements, a FRIAR Transaction Originator Code processor, a FRIAR Account Code processor, a FRIAR Code selection processor for defining a rule set to be applied to the extracted FRIAR identified element and the large indefinite quantity of reference FRIAR identified elements and configured to generate a total FRIAR Code identification function, a FRIAR Code threshold processor configured to generate a context-dependent threshold for an acceptable code decision, and a decision processor configured to compare the total FRIAR Code functions to the context-dependent threshold and determine whether to accumulate and aggregate further FRIAR Code aggregation, provide system alerts, render an automatic reclassification, or to generate an auto-accept/auto-deny decision-result. | 03-13-2014 |
| 20140074763 | EXECUTION ALLOCATION COST ASSESSMENT FOR COMPUTING SYSTEMS AND ENVIRONMENTS INCLUDING ELASTIC COMPUTING SYSTEMS AND ENVIRONMENTS - Techniques for allocating individually executable portions of executable code for execution in an Elastic computing environment are disclosed. In an Elastic computing environment, scalable and dynamic external computing resources can be used in order to effectively extend the computing capabilities beyond that which can be provided by internal computing resources of a computing system or environment. Machine learning can be used to automatically determine whether to allocate each individual portion of executable code (e.g., a Weblet) for execution to either internal computing resources of a computing system (e.g., a computing device) or external resources of an dynamically scalable computing resource (e.g., a Cloud). By way of example, status and preference data can be used to train a supervised learning mechanism to allow a computing device to automatically allocate executable code to internal and external computing resources of an Elastic computing environment. | 03-13-2014 |
| 20140089242 | ESTIMATING THE TIME UNTIL A REPLY EMAIL WILL BE RECEIVED USING A RECIPIENT BEHAVIOR MODEL - A method is provided in an email communication system having at least a processor. The method includes generating an estimate of a receipt time of a reply email from a recipient of an initial email using a recipient behavior model that applies machine learning to the initial email and to training data from other emails. The method further includes indicating the estimate to a user using an indication device. | 03-27-2014 |
| 20140089243 | System and Method For Item Self-Assessment As Being Extant or Displaced - A portable item reporting device ( | 03-27-2014 |
| 20140089244 | KNOWLEDGE BASED METHOD AND SYSTEM FOR LOCAL COMMERCE - A system and method that utilizes knowledge representation system to express relationships among consumers, between consumers and businesses, within a specific business, and across businesses. The system and method supports defining which businesses consumers patronize, which locations they prefer, and what products and services they intend to secure from what businesses. The system can supports defining how businesses are structured, what businesses are similar, and how businesses relate both to consumers and to other businesses. By combining this consumer knowledge and business knowledge the system enables a number of mutually compatible applications across a matrix of consumer and business interactions (consumer-to-consumer, consumer-to-business, and business-to-business.) | 03-27-2014 |
| 20140089245 | SYSTEMS AND METHODS FOR IDENTIFYING AND NOTIFYING USERS OF ELECTRONIC CONTENT BASED ON BIOMETRIC RECOGNITION - Systems and methods are disclosed for manipulating electronic multimedia content to a user. One method includes generating a plurality of biometric models, each biometric mod& corresponding to one of a plurality of people; receiving electronic media content over a network; extracting image or audio data from the electronic media content; detecting biometric information in the image or audio data; and calculating a probability of the electronic media content involving one of the plurality of people, based on the biometric information and the plurality of biometric models. | 03-27-2014 |
| 20140089246 | METHODS AND SYSTEMS FOR KNOWLEDGE DISCOVERY - Provided are methods and systems for knowledge discovery utilizing knowledge profiles. | 03-27-2014 |
| 20140095418 | FRAMEWORK FOR QUANTITATIVE ANALYSIS OF A COMMUNICATION CORPUS - A quantitative technique for social network analysis is described. The technique uses a communication corpus embodying one or more conversations between participants in the one or more conversations. One or more conversation links are generated for association with conversation statements within the communication corpus. Each of the conversation links pairs a source participant who expressed a given conversation statement with a recipient participant whom the given conversation statement is deemed to have been directed. The conversation statements are analyzed to generate conversation link metrics that quantitatively categorize the conversation statements based on psychological, sociological, or emotional indicia. The conversation link metrics are input into a graph processing algorithm and a graphical representation of psychological, sociological, or emotional relationships between the participants is rendered. | 04-03-2014 |
| 20140095419 | Enhanced Predictive Input Utilizing a Typeahead Process - Particular embodiments may retrieve information associated with one or more nodes of a social graph from one or more data stores. A node may comprise a user node or a concept node. Each node may be connected by edges to other nodes of a social graph. A first user may be associated with a first user node of the social graph. Particular embodiments may detect that the first user is entering an input term. Predictive typeahead results may be provided as the first user enters the input term. The predictive typeahead results may be based on the input term. Each predictive typeahead result may include at least one image. Each predictive typeahead result may correspond to at least one node of the social graph. | 04-03-2014 |
| 20140095420 | PERSONAL ADVOCATE - According to various aspects of the present disclosure, a system and associated method and functions to anticipate a need of a user are disclosed. In some embodiments, the disclosed system includes a data acquisition unit, a prediction unit, and an operation unit. The data acquisition unit is configured to detect user information, the user information including physiological and non-physiological data associated with the user. The prediction unit is operatively connected to the data acquisition unit to receive the user information, and is configured to anticipate a user need (e.g., need for medical assistance, need for language translation support, etc.) based on pre-defined user preferences, as well as on the physiological data or the non-physiological data or both. And, the operation unit is configured to automatically perform an operation, without user input, to address the user need (e.g., contact a medical facility, provide a language translation application to the user, etc.). | 04-03-2014 |
| 20140095421 | Predicting Viewable Events - Embodiments are disclosed to provide the prediction of viewable events. Predicting viewable events will allow users to know what events will likely be viewable in a particular venue, such as a restaurant, bar, or private home. Information about venues and events is populated in a database by a plurality of venues or users. Users wishing to view a particular event can search for a venue that has a high probability of showing that event. | 04-03-2014 |
| 20140095422 | DATA METRIC RESOLUTION PREDICTION SYSTEM AND METHOD - In one embodiment, a method includes receiving an identity of a metric of interest and a future time point. The method further includes retrieving a prediction configuration previously associated with the metric of interest. The prediction configuration comprising a period combination. The period combination comprises a plurality of time periods, each time period comprises one or more segments, and each segment of the one or more segments comprises adapted historical values of the metric of interest incrementally inserted therein. The method also includes, for each time period of the plurality of time periods, identifying, for the future time point, a corresponding segment of the one or more segments, accessing a set of adapted historical values from the corresponding segment, and computing an intermediate predicted value from the set of adapted historical values. Moreover, the method includes calculating a predicted value for the metric of interest based on the computing. | 04-03-2014 |
| 20140095423 | INFERING TRAVEL PATH IN PUBLIC TRANSPORTATION SYSTEM - A method and apparatus are disclosed for inferring a travel path in a public transportation system. The apparatus comprises: a single-line origin-destination (OD) inferring device configured to infer from boarding data of a bus line a passenger alighting stop on the line as an inferred passenger alighting stop according to historical data, wherein the boarding data comprises a passenger boarding stop during a predetermined time period and a number of boarding passengers at the stop. A transfer line inferring device is configured to infer a passenger transfer line as an inferred passenger transfer line according to the boarding data and the inferred passenger alighting stop obtained by the single-line OD inferring means. | 04-03-2014 |
| 20140101085 | SYSTEMS, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR EXPEDITING EXPERTISE - A method including generating a global topic model based on a set of data that is updated according to an activity of each user of a plurality of users, the global topic model including a topic representation for a topic, generating a plurality of user models, each user model being generated based on the activity of a respective user, generating an expertise model for the topic based on the activity of at least one user of the plurality of users, the expertise model for the topic setting a target level of knowledge for a first user of the plurality of users, comparing a user model of the first user with the expertise model for the topic, the comparing being performed by a processor of a computer system, and recommending an activity associated with the set of data to the first user based on the comparison. | 04-10-2014 |
| 20140101086 | SYSTEMS, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR EXPEDITING EXPERTISE - A system including a global topic model building module that builds a global topic model based on a set of data that is updated according to an activity of each user of a plurality of users, a user model building module that builds a plurality of user models, each user model being built based on an activity of a respective user, an expertise model building module that builds an expertise model for the topic based on the activity of at least one user of the plurality of users, the expertise model for the topic setting a target level of knowledge for a first user of the plurality of users, a processor to compare a user model of the first user with the expertise model for the topic; and an expertise assessment and learning recommendation module that recommends an activity associated with the set of data to the first user based on the comparison. | 04-10-2014 |
| 20140101087 | METHOD OF EVALUATING VALUE FOR REFERENCED INFORMATION AND APPARATUS THEREOF - A method of evaluating a value of reference information and an apparatus for evaluating a value of reference information are disclosed. According to an embodiment of the present invention, the method includes calculating similarity values of reference relationships between the subject document and each of neighbor documents, respectively, and summing the calculated similarity values to calculate a first sum, multiplying each of the similarity values of reference relationships between the subject document and each of the neighbor documents by a corresponding value of reference information of the first reference document for each of the neighbor documents, and summing the multiplied values to calculate a second sum, and evaluating a value of reference information using a ratio of the first and second sums. | 04-10-2014 |
| 20140101088 | Collaborative Decision Making - A computer implemented method of generating decision options. Sensor data is received from a plurality of sensors and presented visually to two or more users. Those users can then analyse the images and enter tag data which is received and stored along with the sensor data. The sensor and tag data are then input to a computer implemented decision support algorithm along with a stored operational plan. The algorithm then outputs one or more decision options which can assist a human decision maker in making a decision. The invention enables such a decision maker to make a decision quickly which complies with a previously stored operational plan and is likely to be correct since it is based on inputs from multiple human users. The invention is capable of being easily scaled to deal with a high volume of sensor data and a large number of users. | 04-10-2014 |
| 20140108316 | Augmenting Recommendation Algorithms Based on Similarity Between Electronic Content - Systems and methods for augmenting recommendation algorithms based on similarity between electronic content items are provided. In one embodiment, a content management application executed by a processor identifies at least one first electronic content item associated with a first client. The content management application determines that the first electronic content item is similar to at least one second electronic content item associated with a second client. The content management application generates an association between the first electronic content item and the second electronic content item. The association is based on the first electronic content item and the second electronic content item being similar to each another. The content management application generates a recommendation output based at least partially on the association between the first electronic content item and the second electronic content item. | 04-17-2014 |
| 20140108317 | USER DATA ANNOTATION METHOD, TERMINAL DEVICE, AND SERVER - Embodiments of the present invention provide a user data annotation method, a terminal device, and a server. The method includes: receiving, by a server, location information of a first user corresponding to a first terminal device, behavior information of the first user, and sensor data of each sensor on the first terminal device, which are sent by the first terminal device in a process of a game; and annotating, by the server, the location information of the first user, the behavior information of the first user, and the sensor data to obtain annotation data of the first user. The technical solution of the present invention can increase the amount of annotation data and overcome the limitation on the application of user behavior recognition. | 04-17-2014 |
| 20140114895 | MULTI LAYER CHAT DETECTION AND CLASSIFICATION - Embodiments presented herein provide systems, methods and articles of manufacture for a computer-implemented method to monitor users interacting in an online multiuser environment. For each message sent by a user during a session, determining, via a first classifier, whether the message is either acceptable or unacceptable for the online multiuser environment. Upon satisfying a triggering condition for the session of the user, determining, via a second classifier, whether to escalate the session to a moderator for review. | 04-24-2014 |
| 20140114896 | PERFORMING MULTISTEP PREDICTION USING SPATIAL AND TEMPORAL MEMORY SYSTEM - Embodiments relate to making predictions for values or states to follow multiple time steps after receiving a certain input data in a spatial and temporal memory system. During a training stage, relationships between states of the spatial and temporal memory system at certain times and spatial patterns of the input data detected a plurality of time steps later after the certain time steps are established. Using the established relationships, the spatial and temporal memory system can make predictions multiple time steps into the future based on the input data received at a current time. | 04-24-2014 |
| 20140114897 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, RECORDING MEDIUM, AND PROGRAM - The present technique relates to an information processing device, an information processing method, a recording medium, and a program capable of extracting the structure of time series data. An acquisition unit acquires time series data, a conversion unit converts the obtained time series data into an RAR model, and a prediction unit predicts the future of an event that is currently in progress using the RAR model. The present technique can be applied when predicting the future of a phenomenon that changes with time such as weather, earthquake, natural environment, human health, and economy from time series data. | 04-24-2014 |
| 20140114898 | DETERMINATION OF DOCUMENT CREDIBILITY - A plurality of topics encompassed in a document are determined and, for each such topic, a sentiment for that topic is likewise determined. Thereafter, credibility of the document is determined based on the resulting plurality of sentiments. In one embodiment, credibility of at least one target document is established by first determining, for each of a plurality of portions of the at least one target document, at least one topic encompassed in the portion to provide a plurality of target topics. Likewise, sentiment scores are determined for each portion. Thereafter, for each prior topic of a plurality of prior topics, a topic-sentiment score is determined based on sentiment scores corresponding to those portions of the plurality of portions having a target topic corresponding to the prior topic. A credibility index is determined based on the resulting plurality of topic-sentiment scores. | 04-24-2014 |
| 20140122404 | SYSTEM AND METHOD FOR DISPLAYING A TRAIL - A system and method for displaying a trail to a user. A user profile is established for the user. A learning preference for the user is determined in response to receiving user input to multiple questions. A set of peers is determined for the user in response to interactions with the user. A trail is displayed for the user utilizing the set of peers. | 05-01-2014 |
| 20140122405 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - Disclosed herein is an information processing apparatus including an evaluation information extraction section configured to extract evaluation information including an object targeted to be evaluated and an evaluation of the object targeted to be evaluated from a linguistic expression given as information expressed linguistically by a user of interest; an identification section configured to identify whether the evaluation information is of a first type regarding content or of a second type regarding another user; and an evaluation prediction section configured to predict the evaluation by the user of interest regarding the content, based on the evaluation information of the first type given by the user of interest and on the evaluation information given by the other user in the evaluation information of the second type given by the user of interest. | 05-01-2014 |
| 20140129499 | VALUE ORIENTED ACTION RECOMMENDATION USING SPATIAL AND TEMPORAL MEMORY SYSTEM - Embodiments relate to recommending actions based on costs or benefits associated with predictions generated by a spatial and temporal memory system. The spatial and temporal memory system may generate a prediction indicating that more than one value or state may take place in the future where each value or state is associated with different costs and benefits. A configuration assistant facilitates a user to define costs and benefits associated with the more than one value or state. The spatial and temporal memory system uses the likelihood distribution in prediction, and its associated costs and benefits to recommend an action. | 05-08-2014 |
| 20140129500 | Efficient Modeling System - A technique for efficiently factoring a matrix in a recommendation system. Usage data for a large set of users relative to a set of items is provided in a usage matrix R. To reduce computational requirements, the usage matrix is sampled to provide a reduced matrix R′. R′ is factored into a user matrix U′ and an item matrix V. User vectors in U′ and V are initialized and then iteratively updated to arrive at an optimal solution. The reduced matrix can be factored using the computational resources of a single computing device, for instance. Subsequently, the full user matrix U is obtained by fixing V and analytically minimizing an error in UV=R+error. The computations of this analytic solution can be divided among a set of computing devices, such as by using a map and reduce technique. Each computing device solves the equation for different respective subset of users. | 05-08-2014 |
| 20140129501 | METHOD FOR PREDICTING USER OPERATION AND MOBILE TERMINAL - The disclosure discloses a method for predicting a user operation. The method includes the following steps. After training an operation model successfully, a mobile terminal predicts a call instruction by utilizing environmental factors and the operation model, and finally compiles the call instruction into selection information to be displayed to a user. The disclosure further discloses a mobile terminal. Through the solution provided by the disclosure, a forthcoming operation of the user can be predicted, so that intelligent and detailed services are provided for the user. | 05-08-2014 |
| 20140129502 | Predicting or recommending a user's future location based on crowd data - A system and method for predicting a future location of a user are provided. In general, a prediction basis including crowd data describing crowds in which a user was included during a number of reoccurring time windows is generated. Each reoccurring time window may be, for example, a day of the week (i.e., Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, or Sunday), a portion of a day of the week (e.g., Monday Morning, Monday Afternoon, Monday Evening, Tuesday Evening, etc.), a day of the month (e.g., 1st day of the month), a day of the year (e.g., March 25th), or the like. The prediction basis of the user is then used to predict one or more future locations of the user. | 05-08-2014 |
| 20140129503 | METHOD FOR PREDICTING MACHINING QUALITY OF MACHINE TOOL - A virtual metrology based method for predicting machining quality of a machine tool is provided. In this method, each product accuracy item is correlated with operation paths of the machine tool. During a modeling stage, the machine tool is operated to process workpiece samples, and sample sensing data of the workpiece samples associated with the operation paths are collected during the operation of the machine tool. The sample sensing data of each workpiece sample is de-noised and converted into the sample feature data corresponding to each feature type. The workpiece samples are measured with respect to the product accuracy item and integrated into the feature data for building a predictive model, thereby obtaining quality predicted data for each product accuracy item. During a usage stage, accuracy item values of a workpiece are predicted using the feature data during processing the workpiece in accordance with the predictive models. | 05-08-2014 |
| 20140136460 | MULTI OBJECTIVE DESIGN SELECTION - A method of selecting a group from a plurality of multi objective designs which comply with a plurality of objectives. The method comprises providing a plurality of multi objective designs, each the multi objective design having a plurality of multi objective design objective values which comply with at least one constraint of a Pareto Frontier of an objective space of a plurality of objectives, selecting a group from the plurality of multi objective designs, each member of the group is selected according to a match between at least one objective of respective the plurality of objectives and at least one of a respective gain threshold and a respective loss threshold, and outputting the group. | 05-15-2014 |
| 20140136461 | MODE DETERMINATION FOR MULTIVARIATE TIME SERIES DATA - Embodiments relate to mode determination for multivariate time series data. An aspect includes determining first within-mode and first cross-mode parameters for a first number of modes, each mode comprising one or more time periods in the multivariate time series. Another aspect includes determining a first likelihood of the at least one multivariate time series based on the first sets of within-mode parameters and first set of cross-mode parameters. Another aspect includes determining second within-mode and second cross-mode parameters for a second number of modes. Another aspect includes determining a second likelihood of the at least one multivariate time series based on the second sets of within-mode parameters and second set of cross-mode parameters. Another aspect includes based on the first likelihood being higher than the second likelihood, selecting the first number of modes to model the at least one multivariate time series. | 05-15-2014 |
| 20140136462 | SYSTEM, METHOD AND PROGRAM PRODUCT FOR AUTOMATICALLY SUPPLYING MISSING PARAMETERS FOR MATCHING NEW MEMBERS OF A POPULATION WITH ANALOGOUS MEMBERS - A population comparison system, method and a computer program product therefor. A stored list of population members, e.g., hydrocarbon reservoirs, includes parameters for corresponding known characteristics and analogous members for each member. A new population member input receives new member descriptions including parameters for each respective new member. A parameter extraction system automatically extracts an estimated value for each missing key parameter, providing a supplemented description. An analogous member selector automatically selects a subset of listed population members as analogous members for each new population member responsive to the supplemented description. | 05-15-2014 |
| 20140136463 | MODE DETERMINATION FOR MULTIVARIATE TIME SERIES DATA - Embodiments relate to mode determination for multivariate time series data. An aspect includes determining first within-mode and first cross-mode parameters for a first number of modes, each mode comprising one or more time periods in the multivariate time series. Another aspect includes determining a first likelihood of the at least one multivariate time series based on the first sets of within-mode parameters and first set of cross-mode parameters. Another aspect includes determining second within-mode and second cross-mode parameters for a second number of modes. Another aspect includes determining a second likelihood of the at least one multivariate time series based on the second sets of within-mode parameters and second set of cross-mode parameters. Another aspect includes based on the first likelihood being higher than the second likelihood, selecting the first number of modes to model the at least one multivariate time series. | 05-15-2014 |
| 20140143195 | COMPLEX NFA STATE MATCHING - Disclosed is a method and system for matching a complex NFA state comprising a spinner followed by a character class sequence which may be represented by the general regular expression form [S] {N,M}[A0][A1] . . . [Ak−1]. An input transition activates the spinner and the spin count increments with successive matches of the spin class [S]. When the spin count is between N and M, sequence matching begins. Several base sequence CCLs are compared in parallel with a corresponding window of input symbols. If all match, a signal enters a delay line until the end of the base sequence. When the signal exits the delay line, extended sequence CCLs are accessed from a table sequentially and compared with successive input symbols. After the final extension CCL matches, an output transition is signaled. For short sequences, unused base sequence CCLs may be configured with look-ahead classes. | 05-22-2014 |
| 20140143196 | TASK COMPLETION - The concepts relate to task completion and specifically to aiding a user to complete an unfinished task at a subsequent time and/or on another device. One example can identify that a user is working on a task on a computing device associated with the user. In an instance when the user stops using the computing device without completing the task, the example can predict a likelihood that the user will subsequently resume the task on a second computing device associated with the user. In an instance where the likelihood exceeds a threshold, the example can attempt to aid the user in completing the task on the second computing device. | 05-22-2014 |
| 20140143197 | SYSTEM AND METHOD FOR DECISION REASONING - A method for decision reasoning, the method comprising using at least one hardware processor to: provide a database comprising decisions, questions and reasons; receive, from a user, a selection of a decision being part of said decisions; retrieve, from said database, relevant questions out of said questions, wherein said relevant questions are associated, within said database, with said decision received from the user; receive, from the user, answers to at least some of said relevant questions; process said answers so as to retrieve, from said database, one or more relevant reasons out of said reasons; and display said one or more relevant reasons to the user. | 05-22-2014 |
| 20140149328 | EVALUATION OF A RECOMMENDER - A machine may implement a recommender that provides recommendations to users. The machine may be configured to present a first version of the recommender configured by various parameters. A user may submit a message to the machine, and the machine may identify a parameter among the various parameters by tokenizing the message and identifying the parameter among the tokens. The machine may then generate a second version of the recommender by modifying the parameter and configuring the second version according to the modified parameter. The machine may then present the first and second versions of the recommender contemporaneously two different portions of the users. By tokenizing a further message received from the users, the machine may evaluate the first and second versions and determine whether the second version is a replacement of the first version. | 05-29-2014 |
| 20140149329 | NEAR REAL TIME BLOOD GLUCOSE LEVEL FORECASTING - A method of forecasting optimal insulin dosage levels calculates a near real time blood glucose forecast based on frequently updated data representative of blood glucose levels and displays a near real time blood glucose forecast to a user. | 05-29-2014 |
| 20140149330 | CONTEXTUAL KNOWLEDGE MANAGEMENT SYSTEM AND METHOD - A computer-based method for personal knowledge management, the method comprising using one or more hardware processors for: detecting copying of data from a source document by the user, on a computer; intercepting the copied data in a clipboard of the computer; collecting and storing in a knowledge database one or more contextual parameter associated with the copied data; upon attempted pasting of the copied data by the user, injecting at least one of said one or more contextual parameter into the clipboard, such that when the copied data is pasted into a target document, said at least one of said one or more contextual parameter is pasted into the target document along with the copied data; executing one or more data retrieval tools to retrieve knowledge from the knowledge database responsive to a query by the user; and displaying one or more records retrieved from the knowledge database to the user. | 05-29-2014 |
| 20140149331 | ANALYTICS-DRIVEN GLOBAL OPTIMIZATION STRATEGY SELECTION AND REFINEMENT - A centralized optimization engine is configured to receive a problem specification that defines an optimization problem to be solved. The optimization engine classifies the problem specification within a large dataset of previously solved optimization problems. The optimization engine selects one or more solution strategies associated with similar optimization problems, and then executes those solution strategies to solve the optimization problem. Over time, the optimization engine updates the large data set with statistical information that reflects the performance of different solution strategies applied to various optimization problems, thereby increasing the effectiveness with which optimization problems may be solved. | 05-29-2014 |
| 20140149332 | ACTION SUGGESTION DEVICE, ACTION SUGGESTION SYSTEM, ACTION SUGGESTION METHOD, AND PROGRAM - A remaining power acquisition unit ( | 05-29-2014 |
| 20140149333 | TRAFFIC PREDICTION FOR WEB SITES - A traffic prediction component may automatically generate predicted traffic profiles for web sites based on tags that characterize the sites. An initial set of tags can be selected for a web site based on a set of predefined rules. An initial traffic profile may be selected based on the initial set of tags. The predicted profile of user traffic is then generated based on the initial set of tags and on the initial traffic profile. | 05-29-2014 |
| 20140156579 | CONVEX COLLECTIVE MATRIX FACTORIZATION - A method operates on observed relationship data between pairs of entities of a set of entities including entities of at least two (and optionally at least three) different entity types. An observed collective symmetric matrix is constructed in which element (n,m)=element (m,n) stores the observed relationship between entities indexed n and m when the observed relationship data includes this observed relationship. A prediction collective symmetric matrix is optimized in order to minimize a loss function comparing the observed collective symmetric matrix and the prediction collective symmetric matrix. A relationship between two entities of the set of entities is predicted using the optimized prediction collective symmetric matrix. Entities of the same entity type may be indexed using a contiguous set of indices such that the entity type maps to a contiguous set of rows and corresponding contiguous set of columns in the observed collective symmetric matrix. | 06-05-2014 |
| 20140156580 | INFERENCE OF ANOMALOUS BEHAVIOR OF MEMBERS OF COHORTS AND ASSOCIATE ACTORS RELATED TO THE ANOMALOUS BEHAVIOR BASED ON DIVERGENT MOVEMENT FROM THE COHORT CONTEXT CENTROID - A method, a system and a computer program product for determining whether a change in value of a data item relating to an entity being tracked within a cohort is statistically and contextually significant. A computer captures a plurality data items relating to the entity being tracked at a time N+1. The value of the data item at time N+1 is compared to a value of a historical data item at time N. If the value of the data item at time N+1 is different from the value of the historical data item at time N, determining that a change has occurred. If a change in a data item has occurred, determining whether the change in the data item is related to the entity being tracked is statistically and contextually significant in n space on multiple dimensions. | 06-05-2014 |
| 20140156581 | A COMPUTER IMPLEMENTED SYSTEM FOR AUTOMATING THE GENERATION OF A BUSINESS DECISION ANALYTIC MODEL - The present invention envisages a system and method for automating the generation of business decision analytic models. The system uses a plurality of predictor variables stored in a plurality of data sets, to automatically create a business decision analytic model. The system includes a processor configured to process the data sets and determine the total number of records present in each of the data sets and the number of columns containing only numerical values. The processor selects a column containing only numerical values, from a dataset under consideration, and counts the number of unique numerical values in the selected column, and the total number of records present in the selected column. The two counts are compared and the selected column is transformed using a non-linear transformation to obtain a column of transformed values. The transformed values and corresponding time stamps are utilized for the purpose of model generation. | 06-05-2014 |
| 20140164302 | HYBRID REVIEW SYNTHESIS - A method of generating a summary review of an entity from a set of reviews includes generating a distribution and determining a polarity of the distribution associated with a plurality of aspect ratings based on the set of reviews. The set of reviews are associated with the entity, and the plurality of aspect ratings are associated with an aspect, or feature, of the entity. The method includes selecting an opinion correlated with the polarity from the set of reviews, and generating the summary review, the summary review comprising: a summary statement based on the distribution and the polarity; and the opinion. An apparatus and computer-readable device are also disclosed. | 06-12-2014 |
| 20140164303 | METHOD OF ANSWERING QUESTIONS AND SCORING ANSWERS USING STRUCTURED KNOWLEDGE MINED FROM A CORPUS OF DATA - In a method of answering questions and scoring answers, a title and at least one topical field are identified for a document. A field name and field content associated with the topical field is identified, and a title-oriented document is created by combining the title, the field name, and the field content associated with the topical field. For each title-oriented document, a term in the title is matched to previously established categories to produce a title concept identifier. The topical field is synthesized to produce a field concept identifier and a field content concept identifier. A question is received. The question topic term and the question content identifier are used to identify at least one question-matching relation instance. The title concept identifier of each question-matching relation instance is identified as a candidate answer to the question. Each candidate answer and a corresponding answer score is output. | 06-12-2014 |
| 20140164304 | METHOD OF ANSWERING QUESTIONS AND SCORING ANSWERS USING STRUCTURED KNOWLEDGE MINED FROM A CORPUS OF DATA - In a method of answering questions and scoring answers, a title and at least one topical field are identified for a document. A field name and field content associated with the topical field is identified, and a title-oriented document is created by combining the title, the field name, and the field content associated with the topical field. For each title-oriented document, a term in the title is matched to previously established categories to produce a title concept identifier. The topical field is synthesized to produce a field concept identifier and a field content concept identifier. A question is received. The question topic term and the question content identifier are used to identify at least one question-matching relation instance. The title concept identifier of each question-matching relation instance is identified as a candidate answer to the question. Each candidate answer and a corresponding answer score is output. | 06-12-2014 |
| 20140164305 | SYSTEMS AND METHODS FOR VIRTUAL AGENT RECOMMENDATION FOR MULTIPLE PERSONS - Systems, methods, and apparatus for implementing at least one virtual agent. In some embodiments, the at least one virtual agent is programmed to analyze first information regarding a first person; analyze second information regarding a second person different from the first person; and make a joint recommendation for a plurality of persons based at least in part on the first and second information, wherein the plurality of persons comprises the first person and the second person. | 06-12-2014 |
| 20140164306 | PATHWAY MANAGEMENT USING MODEL ANALYSIS AND FORCASTING - A computer generates a three dimensional map of a pathway area using a plurality of overhead images. The computer determines a forecasted weather pattern to occur in the pathway area. The computer analyzes the three dimensional map and the forecasted weather pattern to predict one or more violations of the pathway. The computer generates a priority for the one or more predicted violations of the pathway. The computer generates a plan for pathway management of the pathway area. | 06-12-2014 |
| 20140164307 | PREDICTING WEB PAGE - For predicting web pages, a calculation module predicts a web page from a current context and displays the predicted web page. | 06-12-2014 |
| 20140164308 | CONTENT DELIVERY ARCHITECTURE AND METHOD - A content delivery architecture comprises an intermediate domain via which content is transferable from content providers in at least one content provider domain to consumers in at least one consumer domain. A delivery layer is included having a content store in the intermediate domain for storing content from content providers in the at least one content provider domain for delivery to a consumer. A discovery layer has a content metadata store in the intermediate domain for storing metadata associated with content available from the content store and from content providers in the at least one content provider domain. A support and service layer administers the delivery of content from the content store, and from content providers in the at least one content provider domain, to a consumer using metadata stored in the content metadata store. | 06-12-2014 |
| 20140172764 | SPARSE CLASS REPRESENTATION WITH LINEAR PROGRAMMING - A method, apparatus and computer program product for providing sparse class representation with linear programming is provided. A first model is built using a positive data set. A second model is built using a negative data set. Linear programming is used to distinguishing the first model from the second model to determine a set of salient features for a filter for use as an image classifier. | 06-19-2014 |
| 20140172765 | PREDICTING PHARMACOKINETIC AND PHARMACODYNAMIC RESPONSES OF A COMPONENT OF A SYSTEM TO AN INPUT INTO THE SYSTEM - Non-mechanistic, differential-equation-free approaches for predicting a particular pharmacokinetic and pharmacodynamic responses of a system to a given input are provided in the form of systems, methods, and devices. These approaches are generally directed to a non-compartmental method of predicting a time-dependent pharmacokinetic response, or pharmacodynamics response, of a component of a system to an input into the system. The systems, methods, and devices provide the ability to (i) reduce the cost of research and development by offering an accurate modeling of heterogeneous and complex physical systems; (ii) reduce the cost of creating such systems and methods by simplifying the modeling process; (iii) accurately capture and model inherent nonlinearities in cases where sufficient knowledge does not exist to a priori build a model and its parameters; and, (iv) provide one-to-one relationships between model parameters and model outputs, addressing the problem of the ambiguities inherent in the current, state-of-the-art systems and methods. | 06-19-2014 |
| 20140180991 | RECOMMENDING ELECTRONIC CONTENT BASED UPON USER AVAILABILITY - Embodiments of the present invention provide a system, method, and program product for recommending a digital publication. A computing device identifies a time interval for consuming a digital publication, based on schedule information in an electronic calendar. The computing device determines, based on characteristics of the time interval and a criteria, a digital publication, from a plurality of digital publications, for human consumption within the identified time interval. | 06-26-2014 |
| 20140180992 | Iterative Active Feature Extraction - Techniques for iterative feature extraction using domain knowledge are provided. In one aspect, a method for feature extraction is provided. The method includes the following steps. At least one query to predict at least one future value of a given value series based on a statistical model is received. At least two predictions of the future value are produced fulfilling at least the properties of 1) each being as probable as possible given the statistical model and 2) being mutually divert (in terms of numerical distance measure). A user is queried to select one of the predictions. The user may be queried for textual annotations for the predictions. The annotations may be used to identify additional covariates to create an extended set of covariates. The extended set of covariates may be used to improve the accuracy of the statistical model. | 06-26-2014 |
| 20140180993 | DETERMINING AN INDIVIDUALS DAILY ROUTINE - The methods and systems described herein may involve determining at least one lifeotype of at least one individual, analyzing the at least one lifeotype, and delivering content to at least one individual based on the analysis. The methods and systems described herein may involve providing a game, determining at least one lifeotype of at least one player of the game, analyzing the at least one lifeotype, and affecting the game play based on the analysis. The methods and systems described herein may involve providing an interactive space, determining at least one lifeotype of at least one individual in the space, analyzing the at least one lifeotype, and modifying at least one attribute of the space based on the analysis. | 06-26-2014 |
| 20140180994 | METHOD FOR AUTOMATED DECISION MAKING - A method for automated decision making includes using situated agents with real time reactivity skills for making decisions according to their individual perceptions and motivations, and further includes integrating into the situated agents one or more pre-established plans by using a model representing sequences of causally related events for supporting the decision making to fulfil coordinately the one or more pre-established plans. | 06-26-2014 |
| 20140188772 | COMPUTER-IMPLEMENTED METHODS AND SYSTEMS FOR DETECTING A CHANGE IN STATE OF A PHYSICAL ASSET - A computer-implemented method for detecting a change in state of a physical asset is performed by a computer device. The computer device includes a processor and a memory device. The method includes receiving at least one input signal associated with the physical asset in a time period. The time period includes a first period and a second period. The method further includes receiving at least one output signal associated with the physical asset in the time period. The method also includes generating a predicted estimate and estimate residuals based upon the at least one input signal. The method additionally includes determining estimation errors. The method also includes detecting a probability of change in state of the physical asset. The method further includes transmitting the probability of change in state of the physical asset to a servicer of the physical asset. | 07-03-2014 |
| 20140188773 | Empire of the Future - A scientific system for molding and controlling individuals' and people's future and destinies through networks of devices and servers. The system having a repertoire of knowledge and intelligence, a system intellection and foresight for applying requests for prognostications and foretells in individuals' and people's future and destinies referencing to past, current and future chronicles in the repertoire to generate prognostications and foretells and networks for disseminating and sharing the prognostications and foretells for molding and controlling future and destinies. | 07-03-2014 |
| 20140188774 | Estimation Algorithm for Discrete-Time Uncertain Stochastic Systems and Device Relating Thereto - An apparatus and method for estimation of a system having state variables representing the state of the system comprising predicting the estimate of the state variables along with the uncertainties in the state variables; observing a measurement of at least one state variable corrupted with some amount of error; updating the estimates of the state variables using a weighted average, with more weight being given to estimates with higher certainty; and providing an estimator input to update the estimates of the state variables, the estimator input operating to provide asymptotic convergence of the mean estimation error in all of the state variables in the presence of persistent excitation or disturbance that is not asymptotically decaying to zero. | 07-03-2014 |
| 20140188775 | SHARED RIDE DRIVER DETERMINATION - Values of a variable affecting the determination of the driver of a shared ride may be calculated. Each value may be associated with a respective potential driver. An optimal value from the calculated values may be selected. A potential driver associated with the selected optimal value may be assigned as the driver of the shared ride. The variable may be carbon emission, electricity consumption, passenger to driver role ratio, driving distance, driving time, vehicle size, fuel efficiency, electricity to gasoline usage ratio, accident occurrence, vehicle safety, vehicle comfort, or vehicle speed. The optimal value may be the lowest value or the highest value from the calculated values. Each value may be calculated based on parameters specified by the respective potential driver. | 07-03-2014 |
| 20140188776 | DECISION MAKING USING ALGORITHMIC OR PROGRAMMATIC ANALYSIS - A system for determining an instruction in a first time limit that can be executed by an executing system is disclosed. The system is configured to request proposed action regarding an event from each of a plurality of operator systems. In some embodiments, the system can calculate a score for each of the proposed actions received from the plurality of operator systems. The system can then automatically determine an instruction in a first time limit based on the calculated scored and command the executing system to execute the instruction. | 07-03-2014 |
| 20140195469 | NAVIGATION BASED ON CALENDAR EVENTS - An example embodiment disclosed herein includes a predictive vehicle navigation system. The predictive vehicle navigation system includes an abstraction and communication device (hereinafter “device”) and a mobile device. The device includes an adaptor configured to interface with a Controller Area Network (CAN) bus of a vehicle and to abstract vehicle data from the vehicle. The mobile device includes an operation determination module configured to determine that an operator is operating the vehicle based on a subset of the data, a clock configured to track actual time, and a navigation module configured to receive the actual time and the determination that the operator is operating the vehicle, to access a calendar event that includes an address and a scheduled time, and when the actual time is within a predetermined threshold of the scheduled time, to predict that the address is a destination of the operator. | 07-10-2014 |
| 20140195470 | LARGE-SCALE HUMAN MOBILITY PATTERN RECOGNITION - A method for grouping trips of a mobile device, a trip including a set of trip traces from a plurality of traces collected from base stations. Each base station includes a unique station-ID. Each trace includes a station-ID and an association time indicating when the mobile device was associated with the base station. The mobile device is associated with at most one base station at any point in time. The method to group two trips by calculating an edit distance using an approximate string matching algorithm. The method includes identifying traces for the two trips, extracting ordered sets of station-IDs from the traces, calculating the edit distance between the two trips by applying the approximate string matching algorithm, to the ordered sets of station-IDs, checking if the edit distance is less than a preset edit distance threshold, and grouping the two trips into a group of trips. | 07-10-2014 |
| 20140195471 | TECHNOLOGY PREDICTION - Embodiments of the invention relate to technology prediction. A technical dictionary of technical terms is constructed based on a collection of documents. The technical terms are partitioned into equivalence classes. A table is generated that correlates technical terms across equivalence classes based on temporal co-occurrence of the technical terms across the equivalence classes. For a given technical term the table is accessed to determine a first set of technical terms that correlate to the given technical term. The table is accessed again to determine a second set of technical terms that correlate to the first set of technical terms. It is predicted that the second set of technical terms will correlate to the given technical term in the future. | 07-10-2014 |
| 20140195472 | INFORMATION PROCESSING APPARATUS, GENERATING METHOD, MEDICAL DIAGNOSIS SUPPORT APPARATUS, AND MEDICAL DIAGNOSIS SUPPORT METHOD - A medical diagnosis support apparatus includes a training data obtaining unit that obtains training data, an inference means candidate creating unit that creates a plurality of inference means candidates based on the training data, an inference performance evaluation unit that evaluates the performance of the plurality of inference means candidates based on the training data, an information validity evaluation unit that evaluates the validity of information presented by each of the plurality of inference means candidates based on the training data, and an inference means selection unit that selects an inference means from the plurality of inference means candidates based on the performance of the plurality of inference means candidates and the validity of the information presented by each of the plurality of inference means candidates. | 07-10-2014 |
| 20140201120 | GENERATING NOTIFICATIONS BASED ON USER BEHAVIOR - In some implementations, a method for determining behavior associated with a user device includes receiving behavior data of the user device that includes multiple types of behavior data. The behavior data is compared with patterns of behavior data associated with the user device. The behavior-data patterns are generated from previously-received behavior data. A notification is generated based on comparing the behavior data to the behavior-data patterns. | 07-17-2014 |
| 20140201121 | Method for Predicting Future Travel Time Using Geospatial Inference - Future travel times of a target vehicle traveling on a route from a starting point to a destination are predicted by first acquiring, by a probe vehicle, real-time probe data to alternative links from the starting point to the destination. Then, the future travel time for each link is predicted using a set of regression functions. | 07-17-2014 |
| 20140201122 | ELECTRONIC APPARATUS AND METHOD OF CONTROLLING THE SAME - An electronic apparatus and a method of controlling the same, receives a user's current use state information including at least one of current user information and surrounding environment information, determines a user's current state by comparing the received current use state information with intention pattern information in which a user's intention is patterned and previously stored in association with a plurality of functions or information providable by the electronic apparatus, and automatically proposes a function corresponding to the determined user's state among the plurality of functions or information providable by the electronic apparatus. Thus, a user's intention or needs is determined to actively propose a proper function so that a user can conveniently use the function. | 07-17-2014 |
| 20140207720 | SYSTEM AND METHOD FOR ASYNCHRONOUS EXPLANATION AND PROPAGATION-BASED CONSTRAINT SOLVING - Embodiments of a system and method for asynchronous explanation and explanation-based constraint problem solving are generally described herein. In one or more embodiments, an apparatus includes an asynchronous constraint satisfaction problem solving module (ACSPSM), the ACSPSM can be executable by one or more processors. The ACSPSM can be configured to propagate at least one constraint to a plurality of variables by reducing a speculative propagation range of a first variable when a first value in the speculative propagation range of the first variable is in conflict with the constraint. The ACSPSM can be configured to update an explanation for the reduction in the speculative propagation range of the first variable, or backtrack when a choice of a second value for a second variable would result in the speculative propagation range of the first variable becoming empty. The ACSPSM can be multi-threaded. | 07-24-2014 |
| 20140207721 | DYNAMIC DISTRIBUTED-SENSOR THERMOSTAT NETWORK FOR FORECASTING EXTERNAL EVENTS - Systems and methods for forecasting events can be provided. A measurement database can store sensor measurements, each having been provided by a non-portable electronic device with a primary purpose unrelated to collecting measurements from a type of sensor that collected the measurement. A measurement set identifier can select a set of measurements. The electronic devices associated with the set of measurements can be in close geographical proximity relative to their geographical proximity to other devices. An inter-device correlator can access the set and collectively analyze the measurements. An event detector can determine whether an event occurred. An event forecaster can forecast a future event property. An alert engine can identify one or more entities to be alerted of the future event property, generate at least one alert identifying the future event property, and transmit the at least one alert to the identified one or more entities. | 07-24-2014 |
| 20140207722 | COMPUTING REGRESSION MODELS - Provided are techniques for computing a task result. A processing data set of records is created, wherein each of the records contains data specific to a sub-task from a set of actual sub-tasks and contains a reference to data shared by the set of actual sub-tasks, and wherein a number of the records is equivalent to a number of the actual sub-tasks in the set of actual sub-tasks. With each mapper in a set of mappers, one of the records of the processing data set is received and an assigned sub-task is executed using the received one of the records to generate output. With a single reducer, the output from each mapper in the set of mappers is reduced to determine a task result. | 07-24-2014 |
| 20140207723 | Method and Apparatus for Predicting Joint Quantum States of Subjects modulo an Underlying Proposition based on a Quantum Representation - The present invention presents methods and apparatus for predicting a joint quantum state of subjects, such as human beings, modulo an underlying proposition that revolves about an object, a subject or an experience while deploying a quantum representation of the situation. The joint quantum state is built from a transmit subject qubit |Tx | 07-24-2014 |
| 20140214740 | AUTOMATED TRACKER AND ANALYZER - A utility that can be embedded within a system or application, or run as a stand-alone utility, provides a method for identifying causal relationships for one or more events. For instance, if an anomaly is occurring for a subset of events in a series of events, certain information about potential causes can be collected in conjunction with the series of events and, the information can be analyzed to determine if there is a cause and affect relationship leading to the occurrence of the anomalies. | 07-31-2014 |
| 20140214741 | PARALLEL MULTI-LAYER COGNITIVE NETWORK OPTIMIZATION | 07-31-2014 |
| 20140214742 | DISTRIBUTED MULTI-LAYER PARTICLE SWARM OPTIMIZATION BASED COGNITIVE NETWORK - System and methods for providing a cognitive network ( | 07-31-2014 |
| 20140214743 | SEQUENTIAL MULTI-LAYER COGNITIVE NETWORK OPTIMIZATION - System and methods for providing a cognitive network ( | 07-31-2014 |
| 20140214744 | Dynamic Incident Response - Methods, systems, computer-readable media, and apparatuses for providing dynamic incident response using advanced analytics are presented. In some embodiments, a computing device may determine that an incident has occurred. The computing device then may load a predefined response template that includes parameters for responding to the incident. Subsequently, the computing device may utilize a big data platform to identify one or more potential responders for the incident based on the predefined response template. In some additional embodiments, the computing device also may contact the identified potential responders and subsequently monitor communications by the identified potential responders that are responsive to the contact. The computing device may also update historical interaction data based on the monitoring, and this historical interaction data may be used to subsequently determine the likelihood that at least one potential responder will respond to a future incident. | 07-31-2014 |
| 20140214745 | Methods and Systems of Predictive Monitoring of Objects in a Distributed Network System - Predictive monitoring of objects in a distributed network system providing cloud services is disclosed. In one embodiment, the methods and systems observing one or more update messages sent and received among components of the distributed network system, the update messages comprising information associated with a state of an object on the distributed network system, determine the state of the object in response to the one or more update messages, and reference a predictive object state model to predict occurrence of an artifact in response to the state of the object. Advantageously, the present embodiments provide advanced warning of potential failures in a distributed network systems, which may enable a system administrator or dynamic process to resolve the failure before it ever occurs. Additional benefits and advantages of the present embodiments will become evident in the following description. | 07-31-2014 |
| 20140214746 | COMMUNICATION METHOD BETWEEN APPARATUSES, AND COMMUNICATION APPARATUS - An apparatus for deriving a consultation result communicating with an interlocutor apparatus on the basis of Resource Description Framework (RDF) triples is provided. It includes a user decision making information management unit, an input sentence analysis unit, a consultation unit configured to collect a set of RDF triples concerning the keyword of the input sentence from the RDF triple repository, to send the keyword of the input sentence, a set of RDF triples converted from the input sentence and a set of RDF triples concerning the keyword of the input sentence to an interlocutor apparatus, to create a set of final consultation triples by checking and modifying some consultation triples received from the interlocutor apparatus, and a consultation result output unit configured to create a consultation sentence from the final consultation triples. | 07-31-2014 |
| 20140214747 | MULTIVARIATE DATA MIXTURE MODEL ESTIMATION DEVICE, MIXTURE MODEL ESTIMATION METHOD, AND MIXTURE MODEL ESTIMATION PROGRAM - With respect to the model selection issue of a mixture model, the present invention performs high-speed model selection under an appropriate standard regarding the number of model candidates which exponentially increases as the number and the types to be mixed increase. A mixture model estimation device comprises: a data input unit to which data of a mixture model to be estimated, candidate values of the number of mixtures which are required for estimating the mixture model of the data, and types of components configuring the mixture model and parameters thereof, are input; a processing unit which sets the number of mixtures from the candidate values, calculates, with respect to the set number of mixtures, a variation probability of a hidden variable for a random variable which becomes a target for mixture model estimation of the data, and estimates the optimal mixture model by optimizing the types of the components and the parameters therefor using the calculated variation probability of the hidden variable so that the lower bound of the posterior probabilities of the model separated for each component of the mixture model can be maximized; and a model estimation result output unit which outputs the model estimation result obtained by the processing unit. | 07-31-2014 |
| 20140222741 | HIERARCHICAL LATENT VARIABLE MODEL ESTIMATION DEVICE, HIERARCHICAL LATENT VARIABLE MODEL ESTIMATION METHOD, AND RECORDING MEDIUM - A hierarchical latent structure setting unit | 08-07-2014 |
| 20140222742 | ONTOLOGICAL SYSTEMS - Ontological systems are created for a user and are used to provide numerous sets of user-experience elements such as customization of web products in visual appearance and functional content, user web interaction, marketing methods and pricing models, data processing and systematization, as well as recommendations of any sort. | 08-07-2014 |
| 20140222743 | NATURAL LANGUAGE QUESTION EXPANSION AND EXTRACTION - Methods, computer program products and systems for generating at least one factual question from a set of seed questions and answer pairs. One method includes: obtaining at least one seed question and answer pair from the set of seed question and answer pairs; extracting a set of features associated with the at least one seed question and answer pair using at least one common analysis system (CAS) in a set of CASs and a specific knowledge base; generating a set of candidate questions from the extracted set of features using a logistic regression algorithm and the specific knowledge base, wherein each candidate question includes an expansion of each of the extracted set of features; and ranking each candidate question relative to a remainder of candidate questions in the set of candidate questions based on the extracted set of features and the at least one seed question and answer pair. | 08-07-2014 |
| 20140222744 | Applying Data Regression and Pattern Mining to Predict Future Demand - A data processing system processes transaction database information to predict future demand using data regression techniques to extract trend line information from historical pattern frequency values. By extrapolating the trend line, a predicted pattern frequency value may be calculated. By applying regression techniques (such as least-squares approximation), the trend line information may be extracted and projected to predict the future pattern frequency which may be applied to calculate the expected value of a recommendation rule. | 08-07-2014 |
| 20140236878 | INFERRING CONNECTIVITY IN THE PRESENCE OF CONFLICTING NETWORK DATA - The connectivity information provided by a variety of inference engines is integrated to provide a set of inferred links within a network. A consolidation is performed among inference engines that operate at a base level of connectivity detail to create a model of the network at this base level. The connectivity information provided by inference engines at each subsequent higher level of connectivity abstraction is then overlaid on the base level connectivity. By separately consolidating the connectivity information at each level of abstraction, the rules for dealing with conflicts can be simplified and/or better focused to resolve the conflict. By assuming that the more detailed lower level information is likely to be more accurate, rules can be developed to modify the connectivity models produced by the higher level techniques to conform to the lower level connectivity details while still maintaining the integrity of the higher level connectivity models. | 08-21-2014 |
| 20140236879 | SYSTEMS AND METHODS FOR CONTEXTUAL RECOMMENDATIONS - A method and a system for making contextual recommendations to users on a network-based system. For example, activity associated with a user interacting with a network-based system is tracked. Based, at least in part, on the tracked user activity on the network-based system, a recommendation relationship type is selected. The recommendation relationship type can be either a substitute relationship type or a complement relationship type. A recommended object can be selected based at least in part on the recommendation relationship type and a first object accessed by the user interacting with the network-based system. A recommendation can be generated for the recommended object for presentation to the user interacting with the network-based system. | 08-21-2014 |
| 20140244559 | Data structure and method for performing mishap risk of a system - A computer-implemented method is provided for performing mishap risk assessment within a system. The method includes providing a first set of data including risk information associated with at least one hazard within the system, correlating all input first set of data with a second set of data defined as a plurality of mishaps of the system such that the hazard correlates with each mishap to assess mishap potential, storing the correlated first and second sets of data, and performing mishap risk assessment within the system based the correlated data including the first and second sets of data. | 08-28-2014 |
| 20140244560 | Engagement and Experience Based Ranking - A method, computer program product, and computer system for identifying, by one or more computing devices, online posts authored by a user. The online posts are clustered according to one or more topics of the online posts authored by the user. Inputs associated with the online posts authored by the user are determined. A first score of the user is generated according to the one or more topics based upon a first portion of the inputs associated with the online posts authored by the user. A second score of the user is generated according to the one or more topics based upon a second portion of the inputs associated with the online posts authored by the user. A rank of the user according to the one or more topics is determined based upon the first and second score. | 08-28-2014 |
| 20140244561 | PROVIDING RECOMMENDATIONS TO MEMBERS OF A SOCIAL NETWORK - Systems and methods for providing career recommendations to a member of a social network are described. In some example embodiments, the systems and methods receive input associated with a professional or aspirational goal from a member of a social network, determine a recommendation based on information stored by the social network, and provide the recommendation to the member of the social network, among other things. | 08-28-2014 |
| 20140244562 | SYSTEMS AND METHODS FOR PROVIDING RECOMMENDATIONS BASED ON COLLABORATIVE AND/OR CONTENT-BASED NODAL INTERRELATIONSHIPS - In selected embodiments a recommendation generator builds a network of interrelationships between venues, reviewers and users based on their attributes and reviewer and user reviews of the venues. Each interrelationship or link may be positive or negative and may accumulate with other links (or anti-links) to provide nodal links the strength of which are based on commonality of attributes among the linked nodes and/or common preferences that one node, such as a reviewer, expresses for other nodes, such as venues. The links may be first order (based on a direct relationship between, for instance, a reviewer and a venue) or higher order (based on, for instance, the fact that two venue are both liked by a given reviewer). The recommendation engine in certain embodiments determines recommended venues based on user attributes and venue preferences by aggregating the link matrices and determining the venues which are most strongly coupled to the user. | 08-28-2014 |
| 20140244563 | OPERATION INFORMATION PREDICTION COMPUTER, OPERATION INFORMATION PREDICTION METHOD AND PROGRAM - An operation information prediction computer collects operation information from the at least one apparatus, and predicts future operation information on the at least one apparatus based on the collected operation information. The operation information prediction computer collects, from the at least one apparatus, state information including the operation information and configuration information on the at least one apparatus when the operation information is collected. The operation information prediction computer stores the operation information and the configuration information the storage area. The operation information prediction computer calculates a correlation value for associating past operation information stored in the storage area with current configuration information. The operation information prediction computer calculates a future operation prediction value based on the past operation information and the calculated correlation value. | 08-28-2014 |
| 20140250040 | CORRELATING DATA FROM MULTIPLE BUSINESS PROCESSES TO A BUSINESS PROCESS SCENARIO - The present disclosure involves systems, software, and computer-implemented methods for providing process intelligence by correlating events from multiple business process systems to a single business scenario using configurable correlation strategies. An example method includes identifying a raw event associated with a sending business process and a receiving business process, identifying a sending business process attribute associated with the sending business process and a receiving business process attribute associated with the receiving business process, determining a correlation strategy for associating the raw event with a business scenario instance, the determination based at least in part on the sending business process attribute and the receiving business process attribute, and generating a visibility scenario event from the raw event according to the correlation strategy, the visibility scenario event associated with the business scenario instance. | 09-04-2014 |
| 20140250041 | DISTRIBUTED FACTOR GRAPH SYSTEM - In a data processing system, a method for implementing a factor graph having variable nodes and function nodes connected to each other by edges includes implementing a first function node and a on a first computer system, the first computer system being in network communication with a second computer system; establishing a network connection to each of a plurality of processing systems; receiving, at the first function node, soft data from a variable node implemented on one of the processing systems, the soft data including an estimate of a value and information representative of an extent to which the estimate is believed to correspond to a correct value; and transmitting, from the first function node to the one of the processing systems, soft data representing an updated estimate of the value. | 09-04-2014 |
| 20140250042 | System and Method for Improving the Flight Safety - The present invention relates to a system for improving the flight safety, comprising: a prediction component which predicts behaviors of an aircraft; and an indication component which indicates adjustment of an operation of the aircraft to reduce the possibility of occurrence of abnormal flying behaviors. | 09-04-2014 |
| 20140250043 | METHOD AND SYSTEM FOR MAINTAINING COGNITIVE ABILITIES - A method and system for maintaining and improving cognitive abilities and functioning includes one or more modules that provide exercises and activities for exercising cognitive skill and provide an environment that promotes treatment adherence and emotional well being. The exercises and activities can be customized using content that is selected as a function of information obtained from a user profile. The system can prompt the user for information about the user and the user's preferences and this information can be stored in a user profile. The user profile can include information about the user and preferences of the user, such as their home town and what their favorite sports teams are and the system can select content which is related the to the user's hometown or favorite sports teams, including pictures of people, places and team logos. The system can also assist the user with selecting and achieving personal health and wellness goals by assisting the user in participating in a health and wellness program designed to achieve those goals and track the user's participating in and completion of the program. The system can provide the user with rewards for participating in and completing the program. The system can select the reward based on user preferences. The system can chart and display the user's progress toward receiving a reward. | 09-04-2014 |
| 20140258201 | GENERATING A GEOFENCE VIA AN ANALYSIS OF A GPS FIX UTILIZATION DISTRIBUTION - Example methods, apparatuses, or articles of manufacture are disclosed herein that may be utilized, in whole or in part, to facilitate or support one or more operations or techniques for generating a geofence via an analysis of a GPS fix utilization distribution, such as for use in or with a mobile communication device. Briefly, in accordance with at least one implementation, a method may include obtaining multiple position fixes of one or more objects over an area or volume; determining a clustering of the multiple position fixes in a portion of the area or volume; and inferring a geofence boundary bounding the portion of the area or volume based, at least in part, on the clustering of the multiple position fixes, for example. | 09-11-2014 |
| 20140258202 | Signal Prediction from Sampling on Geometric Sequences - A method and system are described that can predict the future value of a positive signal from prior measured values of the signal. The signal is measured at a prior baseline time, and at times incrementally beyond the baseline time. The post-baseline time increments comprise sets of geometric sequences. The system produces a future estimate of the signal merely by multiplying and dividing prior signal values. By repeated operation, the system can produce an output signal: a continuing stream of periodic signal predictions, which approximates periodic samples of the future signal “pulled back” in time. | 09-11-2014 |
| 20140258203 | INNER PASSAGE RELEVANCY LAYER FOR LARGE INTAKE CASES IN A DEEP QUESTION ANSWERING SYSTEM - System, computer-implemented method, and computer program product to receive a case by a deep question answering system, identify a policy relevant in generating a response to the case, the policy containing a set of criteria used in generating the response to the case, produce, by a first annotator, of a set of annotators, one or more relevant passages of the case, compute a criteria score for a first criterion, of the set of criteria, based on the one or more relevant passages of the case, an determine that the first criterion is met by the case when the criteria score for the first criterion exceeds a predefined threshold. | 09-11-2014 |
| 20140258204 | INFERRING ATTRIBUTE AND ITEM PREFERENCES - User-preference datapoints are collected. At least some of these datapoints are associated with user-preference information about an item (e.g., a movie), and some of these datapoints are associated with user-preference information about an attribute (e.g., a movie genre or an actor). A profile of the user is created based, at least in part, on these datapoints. When a new datapoint is collected, the new datapoint is assigned a user-preference “score.” If, for example, the new datapoint does not come with an explicit user-preference rating, then the score is based on related item and attribute datapoints already in the profile. Depending upon the relationship of the new datapoint to the already existing datapoints, a confidence value is assigned to the user-preference score. The profile is then updated with the new datapoint along with its assigned score and confidence rating. The user profile can be used in performing any number of actions. | 09-11-2014 |
| 20140258205 | INNER PASSAGE RELEVANCY LAYER FOR LARGE INTAKE CASES IN A DEEP QUESTION ANSWERING SYSTEM - System, computer-implemented method, and computer program product to receive a case by a deep question answering system, identify a policy relevant in generating a response to the case, the policy containing a set of criteria used in generating the response to the case, produce, by a first annotator, of a set of annotators, one or more relevant passages of the case, compute a criteria score for a first criterion, of the set of criteria, based on the one or more relevant passages of the case, an determine that the first criterion is met by the case when the criteria score for the first criterion exceeds a predefined threshold. | 09-11-2014 |
| 20140258206 | METHOD AND PROGRAM STRUCTURE FOR MACHINE LEARNING - A method provides program structures for constructing a program that is learned over training data. In one example, two specific program structures are provided in which the first program structure transforms each vector in an input tuple of vectors to provide an output tuple of vectors, and the second program structure operates on an input tuple of vectors to provide an output tuple of vectors by applying one or more transformations that each involves two or more vectors in the input tuple. The transformations of the first and second program structures may be linear transformations. The program may alternatively execute the first program structure and the second program structure in any suitable order a number of times, beginning with operating one of the program structures on an initial tuple of vectors. The vectors may each consist of an ordered set of real numbers. | 09-11-2014 |
| 20140279780 | METHOD AND SYSTEM FOR RECOMMENDING CROWDSOURCING PLATFORMS - A method and system for recommending one or more crowdsourcing platforms from a plurality of crowdsourcing platforms to a requester is disclosed. The method includes receiving values corresponding to one or more parameters of one or more tasks from the requester. In response to the received values recommending the one or more crowdsourcing platforms to the requester based on the values and one or more statistical models maintained for the one or more crowdsourcing platforms, wherein the one or more statistical models corresponds to mathematical models representing performances of the one or more crowdsourcing platforms over a period of time. | 09-18-2014 |
| 20140279781 | METHOD AND SYSTEM FOR RECORDING RECOMMENDED CONTENT USING CLUSTERING - A method and system for storing push content includes a user device having a memory and a viewer tracking module generating a viewed content history for content corresponding to viewed content at the user device. A recommendation recording module compares the viewed content history and push content and stores at least one push content at the user device in response comparing to form a recorded content push list. A display displays the recorded content push list corresponding to the content stored in the user device. | 09-18-2014 |
| 20140279782 | SOCIAL NETWORK-INFLUENCED INTEREST DETECTION - Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting users that are connected to a particular user; accessing, for each of the selected users, an interest score of the selected user that reflects the selected user's predicted interest in the particular topic, or interest data that that is used to determine the interest score of the selected user; accessing a model that is used for generating the interest score of the particular user that reflects the particular user's predicted interest in the particular topic, wherein the interest score of the particular user is generated based at least on the interest scores or interest data of the selected users for the particular topic; and applying the interest scores or interest data of the selected users for the particular topic to the model to generate the interest score of the particular user for the particular topic. | 09-18-2014 |
| 20140279783 | EVALUATION OF PREDICTIONS IN THE ABSENCE OF A KNOWN GROUND TRUTH - Disclosed is a novel system, and method to evaluate a prediction of a possibly unknown outcome out of a plurality of predictions of that outcome. The method begins with accessing a particular prediction of an outcome out of a plurality of predictions of that outcome in which the outcome may be unknown. Next, a subsample of the plurality of predictions of the outcome is accessed. The subsample can possibly include the particular prediction. A consensus prediction of the outcome based on the subsample of the plurality of predictions is determined. A proximity of the particular prediction to the consensus prediction is determined. Each prediction is ranked out of the plurality of predictions in an order of a closest in proximity to the consensus prediction to a farthest in proximity to the consensus prediction. | 09-18-2014 |
| 20140279784 | PARTIAL PREDICTIVE MODELING - A computerized method disclosed herein for analyzing data based on multiple disparate datasets generates a unified predictive model based on a unified dataset, wherein the unified dataset includes data from the multiple disparate datasets. The unified predictive model is partitioned into a number of partial predictive models. A number partial predictions are generated by applying each of the partial predictive models to data from each of the plurality of datasets and the plurality of partial predictions are combined to generate a unified prediction. | 09-18-2014 |
| 20140279785 | METHODS, SYSTEMS, AND APPARATUS FOR PREDICTING CHARACTERISTICS OF A USER - Methods, systems, and apparatus for predicting the characteristics of a user are described. A model based on a conditional multivariate normal distribution and social relationship information between the selected user and each of one or more other users are obtained. One or more characteristics of the selected user are determined based on the model and the social relationship information. The user characteristics may be determined by adjusting the characteristics of a typical source user according to the model and the social relationship information of the selected user. | 09-18-2014 |
| 20140279786 | APPLICATION-CONTROLLED GRANULARITY FOR POWER-EFFICIENT CLASSIFICATION - Systems and methods for providing application-controlled, power-efficient context (state) classification are described herein. An apparatus for performing context classification with adjustable granularity as described herein includes a classifier controller configured to receive a request for a context classification and a granularity input associated with the request; and a context classifier communicatively coupled to the classifier controller and configured to receive the request and the granularity input from the classifier controller, to select a resource usage level for the context classification based on the granularity input, wherein a granularity input indicating a higher granularity level is associated with a higher resource usage level and a granularity input indicating a lower granularity level is associated with a lower resource usage level, and to perform the context classification at the selected resource usage level. | 09-18-2014 |
| 20140279787 | Systems And Methods for an Adaptive Application Recommender - With the growing number of downloaded applications on devices, especially on ones with limited screen real estate, users need a quick and pain-free way to locate applications. In accordance with one or more embodiments of the present invention, a system and methods are provided for generating an application selection recommendation. | 09-18-2014 |
| 20140279788 | Predictive System for Designing Enterprise Applications - Predictive systems for designing enterprise applications include memory structures that output predictions to a user. The predictive system may include an HTM structure that comprises a tree-shaped hierarchy of memory nodes, wherein each memory node has a learning and memory function, and is hierarchical in space and time that allows them to efficiently model the structure of the world. The memory nodes learn causes, predicts with probability values, and form beliefs based on the input data, where the learning algorithm stores likely sequence of patterns in the nodes. By combining memory of likely sequences with current input data, the nodes may predict the next event. The predictive system may employ an HHMM structure comprising states, wherein each state is itself an HHMM. The states of the HHMM generate sequences of observation symbols for making predictions. | 09-18-2014 |
| 20140279789 | PREDICTING AN IDENTITY OF A PERSON BASED ON AN ACTIVITY HISTORY - Systems and methods for predicting an identity of a person are provided. In some aspects, a list of subject activities accessed by a subject person is received. For each of a plurality of stored persons, a stored list of activities accessed with by the stored person is accessed in one or more data repositories. An intersection is calculated between the list of subject activities and the stored list of activities for at least one stored person from the plurality of stored persons. That the subject person is likely to correspond to the at least one stored person from among the plurality of stored persons is predicted, based on the calculated intersection. An indication that the subject person is likely to correspond to the at least one stored person from among the plurality of stored persons is provided. | 09-18-2014 |
| 20140279790 | CONTEXT AWARE LOCALIZATION, MAPPING, AND TRACKING - Exemplary methods, apparatuses, and systems infer a context of a user or device. A computer vision parameter is configured according to the inferred context. Performing a computer vision task, in accordance with the configured computer vision parameter. The computer vision task may by at least one of: a visual mapping of an environment of the device, a visual localization of the device or an object within the environment of the device, or a visual tracking of the device within the environment of the device. | 09-18-2014 |
| 20140279791 | EVALUATION OF PREDICTIONS IN THE ABSENCE OF A KNOWN GROUND TRUTH - Disclosed is a novel system, and method to evaluate a prediction of a possibly unknown outcome out of a plurality of predictions of that outcome. The method begins with accessing a particular prediction of an outcome out of a plurality of predictions of that outcome in which the outcome may be unknown. Next, a subsample of the plurality of predictions of the outcome is accessed. The subsample can possibly include the particular prediction. A consensus prediction of the outcome based on the subsample of the plurality of predictions is determined. A proximity of the particular prediction to the consensus prediction is determined. Each prediction is ranked out of the plurality of predictions in an order of a closest in proximity to the consensus prediction to a farthest in proximity to the consensus prediction. | 09-18-2014 |
| 20140279792 | METHOD AND SYSTEM FOR MAKING CUSTOMIZED FORMULATIONS FOR INDIVIDUALS - The one or more embodiments disclosed herein provide a method for automatically assembling multiple compounds into a single edible custom composition, in which each compound is individually customized to proportions formulated from a profile of an individual or group. The single custom mixture can contain a plurality of compounds including foods or flavors, nutritional additives, herbals, biologics, or pharmacologically active substances. Using the method and a related algorithm, the formulation of a custom mixture is suggested. | 09-18-2014 |
| 20140279793 | SYSTEMS AND METHODS FOR PROVIDING RELEVANT PATHWAYS THROUGH LINKED INFORMATION - Systems and methods for predicting and monetizing information pathways. An indication is received that a user has visited a webpage and, based on information associated with the visit, a predictive model is used to predict a plurality of webpages that are likely to be visited by the user. The user is then provided with a subset of the predicted webpages as a traversable pathway of webpages. Information relating to the user's traversal of the pathway can be collected and used to facilitate the provision of an advertisement to the user. | 09-18-2014 |
| 20140279794 | Data Analysis Computer System and Method for Organizing, Presenting, and Optimizing Predictive Modeling - Predictive modeling is an important class of data analytics with applications in numerous fields. Once a predictive model is built, validated, and applied on a set of objects, by a data analytics system (or even by manual modeling), consumers of the model information need assistance to navigate through the results. This is because both regression and classification models that output continuous values (eg, probability of belonging to a class) are often used to rank objects and then a thresholding of the ranked scores needs to be used to separate objects into a “positive” and a “negative” class. The choice of threshold greatly affects the true positive, false positive, true negative, and false negative results of the model's application. An ideal data analytics system should allow the user to understand the tradeoffs of different threshold values for different thresholds. The user interface should convey this information in an intuitive manner and provide the ability to vary the threshold interactively while simultaneously presenting the effects of thresholding on predictivity. This is precisely the function of the present invention. In addition to manual thresholding, the invention also allows for the thresholding to be performed by fully automated means (via standard statistical optimization methods) once a user has identified the desired balance of false positives and false negatives (or other predictivity metrics of interest). The invention can be applied to any application field of predictive modeling. | 09-18-2014 |
| 20140279795 | Facility State Monitoring Method and Device for Same - In case-based anomaly indication detection in a facility, there are problems such as error generation due to insufficient learning data or execution difficulty due to increased memory capacity and calculation time when the learning data period has been increased to obtain the learning data sufficiently. Provided is a method for monitoring facility state on the basis of a time series signal outputted from the facility, wherein an operation pattern label for each fixed interval is assigned on the basis of the time series signal, learning data is selected on the basis of the operation pattern label for each fixed interval, a normal model is created on the basis of the selected learning data, an anomaly measure is calculated on the basis of the time series signal and the normal model, and the facility state is determined to be anomaly or normal on the basis of the calculated anomaly measure. | 09-18-2014 |
| 20140279796 | PROGRAMMABLE DEVICE, HIERARCHICAL PARALLEL MACHINES, AND METHODS FOR PROVIDING STATE INFORMATION - Programmable devices, hierarchical parallel machines and methods for providing state information are described. In one such programmable device, programmable elements are provided. The programmable elements are configured to implement one or more finite state machines. The programmable elements are configured to receive an N-digit input and provide a M-digit output as a function of the N-digit input. The M-digit output includes state information from less than all of the programmable elements. Other programmable devices, hierarchical parallel machines and methods are also disclosed. | 09-18-2014 |
| 20140289180 | AUTOMATED GENERATION OF NEW WORK PRODUCTS AND WORK PLANS - An apparatus comprises a memory and a processor device operatively coupled to the memory. The processor device is configured to select one or more constituents and one or more classes of work products, analyze one or more existing work products to identify constituents frequently combined with the selected constituents and to identify constituents frequently used to create work products in the selected classes, determine a set of constraints for combining constituents for the set of classes based at least in part on a result of the analyzing step and generate one or more new work products in the set of classes using the set of constraints. | 09-25-2014 |
| 20140289181 | Knowledge Reasoning Method of Boolean Satisfiability (SAT) - Disclosed is a knowledge reasoning method for solving Boolean Satisfiability problems. This method is one of the applications of the method disclosed in the US patent “Knowledge Acquisition and Retrieval Apparatus and Method” (U.S. Pat. No. 6,611,841). Disclosed method applies learning function to access iterative set relations among variables, literals, words and clauses as knowledge; And applies deduction and reduction functions to retrieve relations as reasoning. The process is a knowledge learning (KL) and knowledge reasoning algorithm (KRA). KRA abandons the “OR” operation of Boolean logic and processes only set relations of the data. The novelty of the disclosed method is the reversibility between the deduction and reduction. That is, KRA of Boolean Satisfiability applies a pair of perceptual-conceptual languages to learn member-class relations and retrieve information through deductive and reductive reasoning. | 09-25-2014 |
| 20140297575 | NAVIGATING THROUGH GEOLOCATED IMAGERY SPANNING SPACE AND TIME - Systems and methods of the present disclosure provide techniques for providing user-specified ways of navigating through real-world three-dimensional geographic imagery that spans space and time. An exemplary method includes identifying a plurality of images depicting a geographic location at street level. The images are captured at the geographic location over a span of time. Using a processor, image data is associated with the plurality of images. The image data includes information representing positional data and a time dimension related to the plurality of images. Using the processor, a user's navigational intent to move back and forward through the time dimension is predicted based on a navigational signal. The exemplary method further includes selecting a set of images from the plurality of images based on the image data and the predicted navigational intent. The set of images depict conditions at the geolocation for one or more time periods. | 10-02-2014 |
| 20140297576 | SYSTEM AND METHOD FOR DETECTING DUPLICATION IN DATA FEEDS - A system and method for filtering data sources is provided. Data corresponding to an entity listing is received from a set of data sources including one or more primary data sources and at least one secondary data source. The received data is grouped based attributes of the entity listing. Common values between data from the one or more primary data sources and data from the at least one secondary data source are identified for each attribute of the entity listing. A probability that one of the at least one secondary data source copied data from the one or more primary data sources is calculated based on the identified common values. A determination of whether the calculated probability is greater than a predetermined value is made. If the calculated probability is greater than the predetermined value, the one data source is removed from the at least one secondary data source. | 10-02-2014 |
| 20140297577 | IDENTIFYING CATEGORIZED MISPLACEMENT - The present disclosure provides methods and devices for identifying category misplacement. In one embodiment, an example device obtains a word frequency of each respective word in a product title under a current category, calculates an overall word frequency of the product title under the current category based on the word frequency of each respective word under the current category, and compares the overall word frequency of the product title with a threshold of the current category to determine an existence of category misplacement. The techniques can accurately identify category misplacement and reduce the probability of missing identifying category misplacement. The techniques also require less system resources and improve calculation efficiency. | 10-02-2014 |
| 20140297578 | PROCESSING A TECHNICAL SYSTEM - A method for processing a technical system is provided to predict a technical system's state and/or to provide a diagnosis of the technical system or at least one of its components. The prediction is determined based on a model-based complex event processing (CEP) approach using declarative models. This facilitates considering complex information sources as input data and allows providing a diagnosis based on diagnostic models, wherein the models can be interpreted and/or changed even by users who are not programmers. In addition, time and/or temporal relations can be modeled and considered and an open world assumption can be incorporated to allow more valuable assessments of diagnoses. The invention is applicable for all kinds of technical systems, e.g., industry and automation systems comprising in particular rotating devices and/or generators. | 10-02-2014 |
| 20140310222 | CLOUD-BASED DIAGNOSTICS AND REMEDIATION - Troubleshooting a technical problem on a user device using a network-based remediation platform. Receiving problem statements relating to technical problems associated with a user device, activating a domain of cases, assigning a score for the cases based on a scoring algorithm, and determining one or more remediation actions to suggest based on the score. | 10-16-2014 |
| 20140310223 | SYSTEMS AND METHODS MAKING RECOMMENDATIONS BASED ON DATA FROM WEARABLE DEVICES - The methods and systems described herein may involve determining at least one lifeotype of at least one individual, analyzing the at least one lifeotype, and delivering content to at least one individual based on the analysis. The methods and systems described herein may involve providing a game, determining at least one lifeotype of at least one player of the game, analyzing the at least one lifeotype, and affecting the game play based on the analysis. The methods and systems described herein may involve providing an interactive space, determining at least one lifeotype of at least one individual in the space, analyzing the at least one lifeotype, and modifying at least one attribute of the space based on the analysis. | 10-16-2014 |
| 20140310224 | PREDICTING TEMPERATURE RESPONSE - After the temperature response to a single period of heating (SAR segment) is determined, temperature increases for an arbitrary timecourse of heating is determined based upon a convolution of the temperature response curve for a sequence of different SAR segments. | 10-16-2014 |
| 20140317036 | Method and Apparatus for Determining an Invocation Input - A method comprising determining to provide a notification to a user, the notification being associated with notification content, determining a cognitive load associated with the notification content, and determining an invocation input associated with the notification based, at least in part on the cognitive load is disclosed. | 10-23-2014 |
| 20140317037 | DISTRIBUTED COLLABORATIVE ENVIRONMENT DEFINITION SYSTEM AND METHOD - Disclosed is a system and method for generating a reusable virtual environment item to be integrated into a visual computer simulation wherein the reusable virtual environment item is generated using data gathered from a plurality of developers, wherein the system comprises a centralized knowledge management module, a plurality of distributed workspaces, a content repository, and a content production tool. | 10-23-2014 |
| 20140317038 | PREDICTIVE AND DESCRIPTIVE ANALYSIS ON RELATIONS GRAPHS WITH HETEROGENEOUS ENTITIES - A method provides a random walk model with heterogeneous graphs to leverage multiple source data and accomplish prediction tasks. The system and method components include: 1) A heterogeneous graph formulation including heterogeneous instances of abstract objects as graph nodes and multiple relations as edges connecting those nodes. The different types of relations, such as client-vendor relation and client-product relation, are often quantified as the weights of edges connecting those entities; 2) To accomplish prediction tasks with such information, launching a multi-stage random walk model over the heterogeneous graph. The random walk within a subgraph with homogenous nodes usually produces the relevance between entities of the same type. The random walk across different type of nodes provides the prediction of decisions, such as a client purchasing a product. | 10-23-2014 |
| 20140317039 | SYSTEMS, METHODS, AND DEVICES UTILIZING CUMULATIVE SLEEP DATA TO PREDICT THE HEALTH OF AN INDIVIDUAL - The methods and systems described herein may involve determining at least one lifeotype of at least one individual, analyzing the at least one lifeotype, and delivering content to at least one individual based on the analysis. The methods and systems described herein may involve providing a game, determining at least one lifeotype of at least one player of the game, analyzing the at least one lifeotype, and affecting the game play based on the analysis. The methods and systems described herein may involve providing an interactive space, determining at least one lifeotype of at least one individual in the space, analyzing the at least one lifeotype, and modifying at least one attribute of the space based on the analysis. | 10-23-2014 |
| 20140317040 | EVENT ANALYZER AND COMPUTER-READABLE STORAGE MEDIUM - An event analyzer includes an event log collection module configured to collect an event log, an event log storage module configured to convert the event log into an event matrix and to store the event matrix, an event occurrence-order determination module configured to determine occurrence-order of device events based on the event matrix, a Bayesian network generation module configured to specify device events serving as parent node candidates, to calculate evaluation values corresponding to each specified parent node candidate at a virtual device event obtained by shifting the device event serving as a processing object each unit time, and to select an device event serving as a parent node together with a shift amount, and an analysis module configured to output an device event estimated as a cause of an device event to be analyzed, or an device event estimated to occur later based on the shift amount. | 10-23-2014 |
| 20140324749 | EMOTIONAL INTELLIGENCE ENGINE FOR SYSTEMS - There is disclosed a system and method for adapting digital content to a user's emotional state. In an embodiment, the system comprises: one or more sensors for capturing physiological data to monitor the emotional response of a user to stimulus in their environment; an emotional intelligence engine for determining the emotional state of the user based on physiological data filtered and processed from the one or more sensors; means for correlating the determined emotional state of the user with one or more user performance metrics relating to the user's interaction with digital content; and means for adapting the digital content in response to the user's emotional state and one or more user performance metrics to achieve a desired emotional state for the user. | 10-30-2014 |
| 20140324750 | ONTOLOGICAL CONCEPT EXPANSION - In one embodiment, prior to similarity measure computation, concept expansion based on disjunctive normal form (DNF) decomposition and non-conventional reasoning is applied to an original ontology to generate an expanded ontology having the original concepts plus one or more pseudo concepts. As a result, the similarity measure computation can produce results that more accurately reflect a human point of view than convention techniques. | 10-30-2014 |
| 20140324751 | GENERALIZED CONTEXTUAL INTELLIGENCE PLATFORM - One embodiment of the present invention provides a system for providing user information to a recommender. During operation, the system receives, from the recommender, a registration for notification of changes to a context graph. The context graph includes information about user behavior and/or user interests. Next, the system receives, from a mobile device, event data derived from contextual data collected using detectors that detect the mobile device's physical surroundings. The system modifies the context graph based on the event data. The system then determines that the modification to the context graph matches the registration, and sends a notification of context graph change to the recommender. | 10-30-2014 |
| 20140324752 | Data Analysis Computer System and Method For Fast Discovery Of Multiple Markov Boundaries - Methods for discovery of a Markov boundary from data constitute one of the most important recent developments in pattern recognition and applied data analysis and modeling, primarily because they offer a principled solution to the variable/feature selection problem and give insight about local causal structure. Even though there is always a single Markov boundary of the response variable in faithful distributions, distributions with violations of the intersection property of probability theory may have multiple Markov boundaries. Such distributions are abundant in practical data-analytic applications, and there are several reasons why it is important to discover and extract all Markov boundaries from such data as a critical step of data analysis. The present invention is a novel fast generative method (termed Generalized-iTIE*) that can discover all Markov boundaries from a sample drawn from a distribution. The new method has been tested with simulated data and then applied to discover Markov boundaries in datasets from several application domains including but not limited to: biology, medicine, economics, ecology, image recognition, text processing, and computational biology. | 10-30-2014 |
| 20140330764 | BATTERY DRAIN ANALYSIS AND PREDICTION FOR WIRELESS DEVICES - Technologies for wireless device battery analysis and prediction are disclosed. A described technology includes extracting first attributes associated with first applications; collecting data samples from wireless devices that are configured to execute one or more of the first applications, each of the data samples including (i) one or more application identifiers identifying one or more processes executing on a wireless device during a time duration, and (ii) battery drain information associated with the time duration; determining battery usage characteristics of the extracted first attributes based on correlations among a portion of the data samples; extracting second attribute(s) associated with a second application; identifying one or more of the extracted first attributes that correspond respectively to the second attribute(s); and using one or more of the determined battery usage characteristics that correspond respectively to the one or more identified first attributes to determine a battery usage profile for the second application. | 11-06-2014 |
| 20140337264 | SCALABLE SPATIOTEMPORAL CLUSTERING OF HETEROGENEOUS EVENTS - One embodiment of the present invention provides a system for clustering heterogeneous events. During operation, the system finds a partition of events into clusters such that each cluster includes a set of events. In addition, the system estimates probability distributions for various properties of events associated with each cluster. The system obtains heterogeneous event data, and analyzes the heterogeneous event data to determine the distribution of event properties associated with clusters and to assign events to clusters. | 11-13-2014 |
| 20140337265 | CONTROLLABILITY CHECKING SYSTEMS AND METHODS - An intelligent controllability check process can intelligently examine if enumeration of some possible values for a set of control signal inputs can be avoided (e.g., resulting in less than all possible values being enumerated, etc.). A modified intelligent QBF controllability check can be utilized, including a modified intelligent QBF solver. The process can include a formal controllability check with an extensive or exhaustive consideration of possible value assignments while avoiding enumeration of some possibilities. The formal controllability check can examine if a proof establishes a conclusion regarding assignment values. The proof can be utilized in determining possible results including: (1) a conclusion that signals provide controllability; (2) a conclusion that signals do not provide controllability; or (3) can not reach a conclusion one way or other if signals do or do not provide controllability. Results (e.g., SAT, UNSAT, etc.) of the QBF controllability check can be verified. | 11-13-2014 |
| 20140337266 | RAPID DEVELOPMENT OF VIRTUAL PERSONAL ASSISTANT APPLICATIONS - A platform for developing a virtual personal assistant (“VPA”) application includes an ontology that defines a computerized structure for representing knowledge relating to one or more domains. A domain may refer to a category of information and/or activities in relation to which the VPA application may engage in a conversational natural language dialog with a computing device user. Re-usable VPA components may be linked to or included in the ontology. An ontology populating agent may at least partially automate the process of populating the ontology with domain-specific information. The re-usable VPA components may be linked with the domain-specific information through the ontology. A VPA application created with the platform may include domain-adapted re-usable VPA components that may be called upon by an executable VPA engine to determine a likely intended meaning of conversational natural language input of the user and/or initiate an appropriate system response to the input. | 11-13-2014 |
| 20140337267 | GEOGRAPHIC COORDINATES BASED SOCIAL NETWORK - Embodiments relate to methods, apparatuses, and media configured to identify user characteristics based at least in part on the user's association with geographic coordinates or ranges defining locations or areas of Earth's surface. Recommendations may then be provided to the user based at least in part on the identified user characteristics based on geographic coordinates. Other embodiments may be described or claimed. | 11-13-2014 |
| 20140337268 | SYSTEMS AND METHODS FOR IMPROVED SECURITY AND PRECISION IN EXECUTING ANALYTICS USING SDKS - This disclosure generally relates to computer-implemented analytics, and more particularly to systems and methods for improved security and precision in executing analytics using SDKs. In one embodiment, an analytics system is disclosed, comprising: a processor; and a memory device operatively connected to the processor and storing processor-executable instructions for: receiving an application programming interface (API) call for a service; parsing the API call to extract an API call name and one or more API call parameters; generating prediction values for one or more interpreted-data parameters; obtaining one or more analytics rules; performing an analytics operation to generate an analytics result according to the one or more analytics rules based on the generated prediction values for the one or more interpreted-data parameters and the extracted one or more API call parameters; and generating a visual representation of the analytics result. | 11-13-2014 |
| 20140337269 | SCALABLE, MEMORY-EFFICIENT MACHINE LEARNING AND PREDICTION FOR ENSEMBLES OF DECISION TREES FOR HOMOGENEOUS AND HETEROGENEOUS DATASETS - Optimization of machine intelligence utilizes a systemic process through a plurality of computer architecture manipulation techniques that take unique advantage of efficiencies therein to minimize clock cycles and memory usage. The present invention is an application of machine intelligence which overcomes speed and memory issues in learning ensembles of decision trees in a single-machine environment. Such an application of machine intelligence includes inlining relevant statements by integrating function code into a caller's code, ensuring a contiguous buffering arrangement for necessary information to be compiled, and defining and enforcing type constraints on programming interfaces that access and manipulate machine learning data sets. | 11-13-2014 |
| 20140337270 | Electrophysiological Detection Systems and Methods - A system in accordance with an embodiment of the present disclosure comprises at least two electrodes communicatively coupled to a bio-organism. The system further comprises a data acquisition device coupled to the electrodes for receiving analog signals indicative of voltage potential differences in the bio-organism. In addition, the system comprises logic configured to compare a fast Fourier transform (FFT) signature of the signals received with an FFT signature of a bio-organism known to be healthy to determine whether the bio-organism has a particular disease. | 11-13-2014 |
| 20140344204 | TECHNIQUES FOR ESTIMATING, MEASURING, MONITORING OR FORECASTING INFORMATION QUALITY, TECHNICAL UNCERTAINTY, ENGINEERING EFFORT AND/OR PRODUCTIVITY - Embodiments disclosed herein include systems, methods, and apparatuses for managing requirements for an existing or proposed objective system. An information system in accordance with one embodiment includes one or more processors and storage coupled to the one or more processors. The storage is configured to represent requirements data, including one or more requirements for the objective system, and a particular state of the requirements data for the objective system, including subsystems of the objective system. The particular state of the requirements data includes a particular discrete information quality level for each requirement. The processors are programmed to calculate a requirements information entropy metric, H | 11-20-2014 |
| 20140351193 | METHOD AND DEVICE FOR POST-ADAPTION OF A DATA-BASED FUNCTION MODEL - A method for post-adaption of an at least partially data-based function model which corresponds to a sum of a basis function model, e.g., a data-based basis function model, and an additive fault model, includes: providing the basis function model; recording training data; ascertaining the data-based additive fault model based on difference training data which represent differences between the measured values of the training data and the function values of the data-based basis function model at the measuring points of the training data; | 11-27-2014 |
| 20140351194 | Method and Apparatus to Forecast Resource Pool Exhaustion - Method and Apparatus for rapid scalable unified infrastructure system management platform are disclosed by discovery of compute nodes, network components across data centers, both public and private for a user; assessment of type, capability, VLAN, security, virtualization configuration of the discovered unified infrastructure nodes and components; configuration of nodes and components covering add, delete, modify, scale; and rapid roll out of nodes and components across data centers both public and private. | 11-27-2014 |
| 20140358835 | RANGE CLASS ESTIMATION FOR RADIO FREQUENCY DEVICES - Implementations are disclosed for obtaining a range state of a device operating in an indoor environment with radio frequency (RF) signal sources. In some implementations, windowed signal measurements obtained from RF signals transmitted by an RF signal source are classified into range classes that are defined by threshold values obtained from a RF signal propagation model. A range class observation is obtained by selecting a range class among a plurality of range classes based on a percentage of a total number of windowed signal measurements that are associated with the range class. The range class observation is provided as input to a state estimator that estimates a range class that accounts for process and/or measurement noise. The output of the state estimator is provided as input to a state machine. | 12-04-2014 |
| 20140358836 | SYSTEM AND METHOD FOR PROVIDING RECOMMENDATIONS WITH A LOCATION-BASED SERVICE - A mobile application is provided that provides intelligent recommendations based on the knowledge of where the user has been, and what venues the user would like to visit. Further, such an application may be capable of determining where people in a user's social network have been and what venue locations these related users would like to visit. Also, in another implementation, the application may be capable of determining where people with similar tastes have been, and where they would like to go. Some or all of this information may be used by a mobile application that provides recommendations to a user. For instance, in one implementation, a user having a mobile device such as a cell phone wishes to locate a venue based on one or more parameters, and some or all of this information may be used to order or rank recommendations within the interface. | 12-04-2014 |
| 20140372356 | PREDICTIVE PRE-LAUNCH FOR APPLICATIONS - Systems and methods of pre-launching applications in a computer system, said applications being likely to be activated by a user from a terminated and/or suspended process state, are disclosed. The pre-launching of an application may be based on the assessed probability of the application being activated—as well as the level of availability of system resources to affect such pre-launching. Applications may be pre-launched based on these and other conditions/considerations, designed to improve the user's experience of a quick launch of applications in the background. Several prediction models are presented to provide a good estimate of the likelihood of an application being activated by a user. Such prediction models may comprise an adaptive predictor (based on past application usage situations) and/or a switch rate predictor (based on historic data of an application being switched and, possibly, having a decay rate applied to such switch rate measure). | 12-18-2014 |
| 20140372357 | METHODS FOR PREDICTING AGE-OR DEVELOPMENTAL STAGE-APPROPRIATE FOODS FOR CHILDREN - The present disclosure provides methods for classifying food products and predicting appropriate ages and/or developmental stages that children should be provided with certain food products. In an embodiment, the methods include mathematical models that use the measurements of key texture attributes to predict the minimum age and/or developmental stage of food products. Using the methods of the present disclosure, classification of food products can be directed during early product development. Additionally, the methods of the present disclosure have generated an understanding of which key texture attributes differentiate appropriate products across developmental stages. | 12-18-2014 |
| 20140372358 | Inferring User Profile Attributes from Social Information - User profile information for a user of a social networking system is inferred based on information about user profile of the user's connections in the social networking system. The inferred user profile attributes may include age, gender, education, affiliations, location, and the like. To infer a value of a user profile attribute, the system may determine an aggregate value based on the attributes of the user's connections. A confidence score may also be associated with the inferred attribute value. The set of connections analyzed to infer a user profile attribute may depend on the attribute, the types of connections, and the interactions between the user and the connections. The inferred attribute values may be used to update the user's profile and to determine information relevant to the user to be presented to the user (e.g., targeting advertisements to the user based on the user's inferred attributes). | 12-18-2014 |
| 20140379626 | INFORMATION PLATFORM FOR INDUSTRIAL AUTOMATION STREAM-BASED DATA PROCESSING - An apparatus to predict future behavior of devices in an industrial automation environment is provided. The apparatus includes a non-transitory computer-readable storage medium configured to store program instructions, and program instructions stored on the non-transitory computer-readable storage medium. The program instructions direct a processor within a stream-based processing system to receive a first raw data stream from a first manufacturing data source, and to analyze the first raw data stream with respect to behavior data corresponding to the first manufacturing data source. The program instructions also direct the processor to predict future behavior of one or more device associated with the first manufacturing data source, based on the analysis of the first raw data stream and the behavior data corresponding to the first manufacturing data source, and to perform an action based on the predicted future behavior of the one or more device. | 12-25-2014 |
| 20140379627 | DOMAINS FOR KNOWLEDGE-BASED DATA QUALITY SOLUTION - The subject disclosure relates to a knowledge-driven data quality solution that is based on a rich knowledge base. The data quality solution can provide continuous improvement and can be based on continuous (or on-going) knowledge acquisition. The data quality solution can be built once and can be reused for multiple data quality improvements, which can be for the same data or for similar data. The disclosed aspects are easy to use and focus on productivity and user experience. Further, the disclosed aspects are open and extendible and can be applied to cloud-based reference data (e.g., a third party data source) and/or user generated knowledge. According to some aspects, the disclosed aspects can be integrated with data integration services. | 12-25-2014 |
| 20150019469 | METHOD OF RECOMMENDING ITEMS TO A GROUP OF USERS - A method for generating a recommendation item for members of a group includes registering a plurality of users as members of the group, identifying a subgroup of members of the group of users wherein the subgroup requests a recommendation item from a recommendation engine, calculating, using a multi-armed bandit algorithm, a recommendation item for the subgroup of members. The recommendation item is provided to the subgroup members for their evaluation. After evaluating the recommendation item, the individual users rate the recommendation item which updates the recommendation engine with preferences representing the members of the subgroup. | 01-15-2015 |
| 20150026111 | METHOD FOR ENGAGING ISOLATED INDIVIDUALS - Methods and systems for engaging isolated individuals. In an example implementation, a variety of historical information about a client is received, indicating that certain prior events have occurred in the life of the client. The historical information is stored in electronic storage, and one or more patterns are detected, using a specially programmed computer system, that relate the prior events occurring to the client to presumed indicators of the client's mood. A description of the one or more detected patterns is recorded in the electronic storage. In some implementations, it may be automatically recognized, based on the one or more detected patterns that one or more additional events presumed to indicate the possible onset of a negative mood on the part of the client have occurred, and one or more measures presumed to mitigate the negative mood on the part of the client may be applied. | 01-22-2015 |
| 20150026112 | Renormalization-Related deployment of a quantum representation for tracking measurable indications generated by test subjects while contextualizing propositions - The present invention concerns methods and apparatus for determining when it is appropriate to apply a quantum representation to contextualizations of propositions about items as experienced by test subjects. The methods and apparatus also indicate when classical representations are appropriate and under what conditions views of the observed effects or measurable indications are to be modified. Renormalization-related ordering of test subjects along a real scale parameter W and their confinement to a range ΔW of scale values W | 01-22-2015 |
| 20150039548 | COLLECTIVE EVALUATION OF ALTERNATIVES IN A COLLABORATIVE DECISION MAKING ENVIRONMENT - A system, method and computer program product for facilitating collaborative decision making may be provided. The system receives data representing individual postings of users associated with a deliberation to make a decision. The system further receives ratings associated with the individual postings in order to make the decision. The system represents the received data in a hierarchical data structure. The system aggregates, through the hierarchical data structure, the ratings associated with the individual postings to obtain strength values. The system facilitates the making of the decision based on the aggregated strength values. | 02-05-2015 |
| 20150039549 | SYSTEM AND METHOD FOR COMPUTERIZED RECOMMENDATION DELIVERY, TRACKING, AND PRIORITIZATION - A system and method for recommendation delivery and tracking is provided. Users may use a smartphone enabled recommendation system to select products or media such as movies to recommend to other users. In one embodiment, the user uses the recommendation system to select a movie and select a recipient and the recommended movie is transmitted to the recipient. At the recipient, received recommendations are prioritized based on factors including the identity of the sender including the sender's overall recommendation approval rating and/or the specific-recipient approval rating. The recipient then evaluates and rates the recommendation and the rating is used in future recommendation prioritization. | 02-05-2015 |
| 20150058270 | OPERATION PLAN DECISION METHOD AND OPERATION PLAN DECISION SYSTEM - An operation plan decision method includes deriving an feasible solution by using a constraint violation minimization model, updating candidates for an optimum solution and adding the updated candidates to a candidate list by taking the derived feasible solution, as an initial value of a candidate for the optimum solution, and by using a time cross-section division model that is obtained by dividing an optimization model for each time cross-section, and selecting the optimum solution from the candidate list to which the updated candidates are added. | 02-26-2015 |
| 20150066827 | Method of Using Graphical Index Maps to Provide Automated Relationship Discovery and Impact Analyses - A method, system and computer-usable medium are disclosed for understanding and discovering relationships within infrastructure systems via an infrastructure management system. In certain embodiments, the infrastructure systems comprise water and/or transportation systems. Such an infrastructure management system enables accidents to be prevented, traffic to flow normally, water to be conserved, cleaned and delivered safely. | 03-05-2015 |
| 20150066828 | CORRECTING INCONSISTENCIES IN SPATIO-TEMPORAL PREDICTION SYSTEM - An apparatus, method, and computer program product are disclosed for correcting inconsistencies in a spatio-temporal prediction system. A data module receives event-prediction data comprising a plurality of prediction probabilities. The plurality of prediction probabilities includes one or more ordering inconsistencies. A ranking module calculates one or more event-prediction rankings based on the event-prediction data while adjusting for the one or more ordering inconsistencies. A probability-ordering module orders the prediction probabilities based on the one or more event-prediction rankings. | 03-05-2015 |
| 20150066829 | METHOD AND SYSTEM FOR QUERY ANSWERING OVER PROBABILISTIC SUPPLY CHAIN INFORMATION - A method predicts a derivable event in a logistic network. The method includes generating a Bayesian network describing a structure of at least a part of a logistic network. A query is received for the derivable event that depends on a combination of base events in the logistic network. The Bayesian network is instantiated for a plurality of points in time. A prediction of the derivable event is deduced from the instantiated Bayesian network by use of complex event processing. | 03-05-2015 |
| 20150066830 | SYSTEMS AND METHODS FOR PROVIDING RECOMMENDATIONS BASED ON COLLABORATIVE AND/OR CONTENT-BASED NODAL INTERRELATIONSHIPS - In selected embodiments a recommendation generator builds a network of interrelationships between venues, reviewers and users based on their attributes and reviewer and user reviews of the venues. Each interrelationship or link may be positive or negative and may accumulate with other links (or anti-links) to provide nodal links the strength of which are based on commonality of attributes among the linked nodes and/or common preferences that one node, such as a reviewer, expresses for other nodes, such as venues. The links may be first order (based on a direct relationship between, for instance, a reviewer and a venue) or higher order (based on, for instance, the fact that two venue are both liked by a given reviewer). The recommendation engine in certain embodiments determines recommended venues based on user attributes and venue preferences by aggregating the link matrices and determining the venues which are most strongly coupled to the user. | 03-05-2015 |
| 20150074031 | Computer implementation of term functor logic, (TFL), based on directed graph representation of TFL - The invention is a method of computer implementation of Term Functor Logic (TFL), embodied in a fully functional prototype, a computer program, Functor Logic Processor-Version 1, (FLP-1). The method is the “FLP method”, FLP. Input to FLP-1 consists of sentences (logical formulae) in TFL. Output are sentences that are the logical conclusions, (deductive inferences) derivable from the Input. FLP provides a “natural deduction” system for TFL, a basis for expert systems for logical analysis of input data, capable of wide application. The FLP method is based on a functional representation of the Input by a non-planar directed graph. All Output is determined from the adjacency matrix of the directed graph by algorithmic routines, including calculations of conclusions in a functor algebra unique to the method. | 03-12-2015 |
| 20150074032 | METHOD AND SYSTEM FOR ENTITY BASED POSITION ASSIGNMENT - A method and system for entity based position assignment are provided. The method includes: retrieving position data related to each position of a plurality of positions; retrieving data related to each entity of a plurality of entities, wherein each entity is to be assigned to one of the plurality of positions; determining a desirable arrangement based at least in part on the position data and the entity data; and arranging each entity in a corresponding desired position within the desirable arrangement. The system includes: a position module configured to retrieve position data relating to each position of a plurality of positions; an entity module configured to retrieve entity data relating to each entity of a plurality of entities, wherein each entity is to be assigned to a position; and a data analysis module configured to determine a desirable arrangement based at least in part on the position data and the entity data and further configured to arrange each in a corresponding desired position within the desirable arrangement. | 03-12-2015 |
| 20150074033 | CROWDSOURCED ELECTRONIC DOCUMENTS REVIEW AND SCORING - A system and a method for facilitating an expertise driven review and scoring of electronic documents in a crowdsourced environment. The system includes a server computer, a memory circuit and a processing circuit. The processing circuit is coupled to the memory circuit and includes or is coupled to a credentialing engine. The system further includes an expert scoring module. The system further includes a document reviewing and scoring engine coupled to the processing circuit. The document review and scoring module associates an aggregate score to the electronic document based on aggregation of the review ratings by crowdsourced experts and aggregate scores of each of the crowdsourced experts based on the set of attributes including one or more of the credentialed expertise, reputation of the expert, and the officiality. | 03-12-2015 |
| 20150081609 | Predicting Spread of Content Across Social Networks - This document describes techniques for predicting spread of content across social networks. In various embodiments, user interactions with content posted to a social network are accessed during a first stage. The accessed user interactions are applied to a prediction model to predict future user interactions with the content during one or more subsequent stages. | 03-19-2015 |
| 20150081610 | GOAL-ORIENTED PROCESS GENERATION - An apparatus comprises a memory and a processor device operatively coupled to the memory. The processor device is configured to receive a set of process metrics, evaluate the set of received process metrics to determine a set of process classifications, determine a set of process parameters, and generate one or more processes based at least in part on the set of process parameters and the set of process classifications, each of the one or more processes having respective sets of process metrics similar to the set of received process metrics. | 03-19-2015 |
| 20150081611 | METHOD AND SYSTEM FOR PRESENTING PERSONALIZED CONTENT - Content personalized for a user is presented. Particularly, content is personalized and presented to a user in a more cognitive and user-understandable manner to improve the impact and the effectiveness on the user. The system utilizes artificial intelligence to analyze and categorize the content and thereby learns to discover the core concept of the content and any patterns involved. The system also understands the user's interests by capturing the preferred presentation formats and the user's past knowledge. The system maps the categorized content and user's interests and personalizes the content and renders into user preferred presentation type and format. The system supplements the main presentation type with additional related content. The system is capable of continuously monitoring the user activities to understand the effectiveness of the presented content type and formats, and feedback is exploited to continuous improvement of presented content and presentation type and formats. | 03-19-2015 |
| 20150088798 | DETECTING BEHAVIORAL PATTERNS AND ANOMALIES USING METADATA - A method and a system are provided that include retrieving, from one or more databases, a first set of information including metadata of electronic communications of one or more entities, and retrieving, from one or more databases, a second set of information including metadata of telecom communications of the one or more entities. The method and system also include analyzing the metadata of the electronic communications and the metadata of the telecom communications to determine one or more interconnection associations of the one or more entities, and identifying activities and characteristics attributable to the one or more entities based on the one or more interconnection associations. The method and system are useful for identifying networks through metadata to prevent criminal or other unlawful activity (e.g., fraud, theft, etc.) and/or to mine for opportunities. | 03-26-2015 |
| 20150088799 | INPUT ASSISTANCE DEVICE, INPUT ASSISTING METHOD, AND RECORDING MEDIUM STORING INPUT ASSISTANCE PROGRAM - An input assistance device according to an exemplary aspect of the present invention includes: an operation storing unit which stores a plurality of types of operations targeting a display object arranged in a shared screen shared by a plurality of terminal devices; an operation history storing unit which stores a history operation that is a performed operation targeting an arranged object which is the display object stored in display object storing unit and arranged in the shared screen, in order of performance of the history operation, and stores participating user identifiers that are identifiers of users of the plurality of terminal devices; and an operation score deriving unit which derives an operation probability being a probability that a target user performs next time a candidate operation being the operation stored in the operation storing unit, based on a target user identifier, the history operation, and the participating user identifier. | 03-26-2015 |
| 20150100533 | METHODS, SYSTEMS AND COMPUTER PROGRAM PRODUCTS FOR CHEMICAL HAZARD EVALUATION - A method of assessing chemical products includes: receiving input data including identification of a chemical substance at a processing device; evaluating a regulatory impact of the chemical substance based on at least one of global regulation data, regional regulation data and jurisdiction-specific regulation data, and outputting a regulatory impact assessment; evaluating potential hazards posed by the chemical substance based on available data related to characteristics of the chemical substance by comparing the characteristics to a plurality of criteria including environmental criteria, toxicity criteria related to effects on human health, and physical criteria related to hazards encountered during material transportation and handling, and outputting a chemical hazard assessment; and generating a chemical assessment report indicating potential impact due to use of the chemical substance, the chemical assessment report indicating chemical assessment results that include the regulatory impact assessment and the chemical hazard assessment. | 04-09-2015 |
| 20150100534 | STATE DIAGNOSING METHOD AND STATE DIAGNOSING APPARATUS - A state diagnosing method diagnoses a state of an operation of the diagnosis target based on waveform data. A waveform representing values of time-series data, the time axis of which is configured to set a start time of an operation of the diagnosis target or a changing time of an operation of the diagnosis target as an origin, is obtained as a target waveform. A similarity between a reference waveform representing a normal state or an abnormal state of the diagnosis target and the target waveform is calculated. A state of the diagnosis target is determined based on the similarity. | 04-09-2015 |
| 20150106320 | INTERNET RADIO AND BROADCAST METHOD PERSONALIZED BY RATINGS FEEDBACK - Data streams are generally selected according to user preferences and transmitted to the user in general alignment with expressed preferences of the user. Such data streams may be music, including music videos. Users may indicate their general or specific preferences with regards to song, artists, or albums. Any other aspects or factors that might affect the user's preferences can be taken into account. A playlist is created that combines all of these factors. The playlist then serves as the basis for feeding the data streams to the user. Each user is able to express his or her own preferences and receive music corresponding to those preferences on an on-going basis. | 04-16-2015 |
| 20150106321 | INTERNET RADIO AND BROADCAST METHOD PERSONALIZED BY GENRE - Data streams are generally selected according to user preferences and transmitted to the user in general alignment with expressed preferences of the user. Such data streams may be music, including music videos. Users may indicate their general or specific preferences with regards to song, artists, or albums. Any other aspects or factors that might affect the user's preferences can be taken into account. A playlist is created that combines all of these factors. The playlist then serves as the basis for feeding the data streams to the user. Each user is able to express his or her own preferences and receive music corresponding to those preferences on an on-going basis. | 04-16-2015 |
| 20150112913 | CASE-BASED REASONING - A case-based reasoning, CBR, platform for monitoring a situation includes: a CBR engine; a unified data cache; a case library; an agent application programming interface, API; a data source API; an application API; and a persistence API. The data source API provides an interface between live and/or static data sources, external from the CBR platform, and the unified data cache. The persistence API provides an interface between a persistence database, external from the CBR platform, and the unified data cache and the case library. The application API provides an interface between the systems of data analysts, platform administrators and/or operators, external from the CBR platform, and the unified data cache and the case library. The agent API receives information from data interpretation agents external from the CBR platform and sends the received information to the CBR engine to provide the CBR engine with information for generating the CBR results. | 04-23-2015 |
| 20150112914 | CASE-BASED REASONING - Disclosed herein is a computer-implemented method of creating a new case in a case-based reasoning (CBR) system for monitoring a situation, the method comprising: determining a set of one or more cases from a plurality of cases in dependence on a received data stream comprising information on a monitored situation, wherein each case comprises information describing a problem and information describing a solution to the problem and the process of determining the set of one or more cases is performed without comparing the description of the problems of any of the plurality of cases with a previously generated current case comprising information describing the monitored situation; generating information describing a solution in dependence on information obtained from the determined set of one or more cases and/or in dependence on information received from a user interface; generating a current case comprising information describing the monitored situation in dependence on the received data stream; and generating a new case in dependence on the generated information describing a solution and the generated current case. | 04-23-2015 |
| 20150112915 | SELF-ADJUSTING FRAMEWORK FOR MANAGING DEVICE CAPACITY - Automatically improving a deployment. A method includes, in a live distributed computing environment, adjusting operating parameters of deployment components. Effects of the adjusted operating parameters are observed. At least a portion of a behavior model function is defined based on the adjusted operating parameters and observed effects. Based on current distributed computing environmental conditions, operating parameters defined in the behavior model function are adjusted to improve the deployment. | 04-23-2015 |
| 20150120633 | WELLNESS INFORMATION ANALYSIS SYSTEM - A method that includes receiving information related to a wellness of a user from a plurality of data sources associated with the user, generating a wellness rating for the user, the generating of the wellness rating being based in part on the received information and based further in part on one or more weighting factors applied to the received information, and providing to the user an indication of the generated wellness rating and recommendations for improving the wellness of the user. At a time subsequent to the providing, receiving additional information related to the wellness of the user from at least one of the plurality of data sources associated with the user and generating, based at least in part on the receiving of the additional information, a modified wellness rating for the user. | 04-30-2015 |
| 20150120634 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - Provided is an information processing device including a collection unit configured to collect meta feedback that is feedback on a combination including a content, a user, and feedback on the content of the user, and a prediction unit configured to obtain a predicted acceptance degree that is a prediction value of a degree to which an active user that is a target user accepts a combination including at least one of the content, the user, and the feedback, based on the collected meta feedback. | 04-30-2015 |
| 20150127595 | MODELING AND DETECTION OF ANOMALY BASED ON PREDICTION - Embodiments relate to determining likelihood of presence of anomaly in a target system based on the accuracy of the predictions. A predictive model makes predictions based at least on the input data from the target system that change over time. The accuracy of the predictions over time is determined by comparing actual values against predictions for these actual values. The accuracy of the predictions is analyzed to generate an anomaly model indicating anticipated changes in the accuracy of predictions made by the predictive model. When the accuracy of subsequent predictions does not match the range or distribution as anticipated by the anomaly model, a determination can be made that the target system is likely in an anomalous state. | 05-07-2015 |
| 20150142716 | TRACKING PLAYER ROLE USING NON-RIGID FORMATION PRIORS - Approaches are described for assigning roles to agents in a group of agents engaging in an activity. An assignment analysis system receives a first set of detections, where each detection in the first set of detections comprises a physical location. The assignment analysis system defines an exemplar formation comprising an arrangement of each role in a set of roles. The assignment analysis system calculates a first cost function between at least one detection in the first set of detections and at least one role in the set of roles. The assignment analysis system generates a first set of permutations based on the first cost function. The assignment analysis system assigns a first role in the set of roles to a first detection in the first set of detections based on the first set of permutations. | 05-21-2015 |
| 20150142717 | PROVIDING REASONS FOR CLASSIFICATION PREDICTIONS AND SUGGESTIONS - Technologies are generally provided for a prediction system to provide reasons corresponding to suggested classifications. The prediction system may predict classifications such as user actions on incoming messages to help users triage email, and may provide one or more reasons for classifications to a user. The prediction system may identify features of the message in order to make predictions about user interactions and to suggest an action to the user, where features may include characteristics of the email message such as sender identity. Presented reasons for a suggested action may convey observed features of the message that significantly contributed to the prediction decision, and were relatively unexpected compared to a typical item for a particular user. | 05-21-2015 |
| 20150149396 | NON-TECHNICAL LOSS DETECTION AND LOCALIZATION - Embodiments of the present invention provide a system, method, and computer program product to detect and localize non-technical losses in an energy distribution system. A computing device determines the energy consumption of a link and/or node that is associated with an energy grid. The computing device determines the mismatch between the determined energy consumption of the link and/or node and the predicted energy consumption of the link and/or node. The computing device also determines the location of unauthorized energy consumption within the energy that is associated with the mismatch. | 05-28-2015 |
| 20150149397 | PREDICTIVE LOCATIONS BASED ON CONTEXT - Systems, methods, and devices use search terms, current state information, historical data, and expected location hints to predict where a user may be when a search may be relevant. In an embodiment, search terms entered on a first user computing device may be combined with location information resident on a second user computing device to determine where a user is likely to be and what results are likely to be relevant to a user in the future. In a further embodiment, relevant search terms indicative of time, such as “tomorrow” or “tonight,” and/or user-related information may also be used to return predictive search results. In a further embodiment, user-related information from other users may also be used to return predictive search results. | 05-28-2015 |
| 20150294221 | A METHOD AND A SYSTEM FOR GENERATING CONTEXT-BASED CONTENT RECOMMENDATIONS TO USERS - A method and a system for generating content recommendations to users. | 10-15-2015 |
| 20150294223 | Systems and Methods for Providing Information for Predicting Desired Information and Taking Actions Related to User Needs in a Mobile Device - Systems and methods for providing inferences for use in prediction algorithms to mobile devices are disclosed. The mobile device detects an event and generates an event record that includes contextual information for the event. The event record is transmitted from the mobile device to a service provider system. The service provider system stores the event record on a cloud storage system. The cloud storage system uses the stored event records to generate inferences. The inferences are then passed to the service provider system. In turn, the service provider system provides the inferences to the proper mobile devices. The mobile devices then use the inference in prediction algorithms to generate prediction information that is used to configure applications provided by the device to operate in accordance with a predicted event. | 10-15-2015 |
| 20150302305 | GENERATING AN AGRICULTURE PRESCRIPTION - A method begins by agriculture equipment collecting current on-site gathered agriculture data regarding an agriculture region and sending at least a representation of the current on-site gathered agriculture data to a host device. The method continues with the host device processing one or more of the at least a representation of the current on-site gathered agriculture data, current off-site gathered agriculture data, historical on-site gathered agriculture data, historical off-site gathered agriculture data, and historical analysis of agriculture predictions regarding the agriculture region to produce a current agriculture prediction for the agriculture region. The method continues with the host device generating an agriculture prescription regarding at least a portion of the agriculture region based on the current agriculture prediction and sending the agriculture prescription to one or more of the agriculture equipment. | 10-22-2015 |
| 20150302306 | SYSTEMS AND METHODS OF PROCESSING PERSONALITY INFORMATION - A computer-based system and associated processes are disclosed for making personality-related recommendations to an entity. The system receives indications of one or more personality attributes of an entity. The system acquires indications of one or more personality attributes of a desired partner of the entity. The system applies a mathematical model to the one or more personality attributes of the entity and the one or more personality attributes of the desired partner of the entity. The mathematical model calculates one or more recommended changes to the personality attributes of the entity to increase a predicted relationship satisfaction score between the entity and the desired partner. The system selects a recommended action from a database of recommended actions, based at least in part on the recommended changes to the personality attributes of the entity. The system presents the recommended action. | 10-22-2015 |
| 20150302308 | AUTONOMIC GROUP DECISION MAKING USING IMPEDANCE SCORES - A method for autonomic group decision making may include presenting a plurality of decision options and receiving at least one decision option selected by each decision maker. A decision result may be presented including an indication of the preference for each option. Each decision maker may be allowed to revise the previously selected option for convergence to a single decision option for the group. An impedance score is determined for each decision maker in response to a decision maker selecting a different decision option. The impedance score may be based on one or more actions by the decision maker regarding selecting the decision option. A level of the impedance score indicates either progress toward or away from convergence. The impedance score may be revised each time a revised option is selected. The single decision option may be presented in response to the decision makers converging on the single decision option. | 10-22-2015 |
| 20150302315 | Correcting Existing Predictive Model Outputs with Social Media Features Over Multiple Time Scales - Methods, systems, and computer program products for correcting existing predictive model outputs with social media features over multiple time scales are provided herein. A method includes examining multiple items of user content derived from one or more social media sources during a given time period to identify one or more items of user content pertaining to a target entity; analyzing the items of user content pertaining to the target entity to determine one or more predictive features in the items of user content related to a target variable associated with the target entity; computing a correlation measure between each of the predictive features and the target variable; and modifying an output of an existing predictive model associated with the target variable via incorporation of the predictive feature with the highest correlation measure into the output of the existing predictive model to generate an updated predictive output. | 10-22-2015 |
| 20150309963 | DYNAMIC OUTLIER BIAS REDUCTION SYSTEM AND METHOD - A system and method is described herein for data filtering to reduce functional, and trend line outlier bias. Outliers are removed from the data set through an objective statistical method. Bias is determined based on absolute, relative error, or both. Error values are computed from the data, model coefficients, or trend line calculations. Outlier data records are removed when the error values are greater than or equal to the user-supplied criteria. For optimization methods or other iterative calculations, the removed data are re-applied each iteration to the model computing new results. Using model values for the complete dataset, new error values are computed and the outlier bias reduction procedure is re-applied. Overall error is minimized for model coefficients and outlier removed data in an iterative fashion until user defined error improvement limits are reached. The filtered data may be used for validation, outlier bias reduction and data quality operations. | 10-29-2015 |
| 20150310350 | METHOD AND APPARATUS FOR ADIABATIC QUANTUM ANNEALING - An approach is provided for adiabatic quantum annealing (computing, AQC). There is disclosed a method for finding a solution by using adiabatic quantum annealing. In an embodiment of the method an initial state to an adiabatic quantum computing element is provided and an adiabatic quantum annealing is performed by the adiabatic quantum computing element. The result of the adiabatic quantum annealing is examined to determine whether one or more terminating criteria have been met. If the examining reveals that one or more terminating criteria have been met, returning a candidate solution with the lowest energy. If the examining reveals that one or more terminating criteria have not been met, the method further comprises adjusting the state of the adiabatic quantum computing element; and repeating the adiabatic quantum annealing. The present invention also relates to apparatuses and computer program products for implementing the method and circuitry relating to the adiabatic quantum annealing. | 10-29-2015 |
| 20150317559 | NEXT APPLICATION SUGGESTIONS ON A USER DEVICE - Methods and systems are presented for providing suggested next applications to open after a first application is opened on a user device (e.g., a mobile device). A list of next application suggestions may be generated based on past applications successively opened after respective openings of the first application. The list of next application suggestions may also be generated based on retrieved, shared data and third party data. The list of next application suggestions may be displayed on a user interface while first application is running, so that the user may select a next application to run without needing to return to a home or multi-tasking screen. | 11-05-2015 |
| 20150324695 | METHODS AND SYSTEMS FOR DETERMINING INTER-DEPENDENICES BETWEEN APPLICATIONS AND COMPUTING INFRASTRUCTURES - Methods and systems for creating one or more statistical classifiers. A first set of performance parameters, corresponding to the one or more applications and the one or more computing infrastructures, is extracted from a historical data pertaining to the execution of the one or more applications on the one or more computing infrastructures. Further, a set of application-specific and a set of infrastructure-specific parameters are selected, from the first set of performance parameters, based on one or more statistical techniques. A similarity between each pair of the applications, each pair of the computing infrastructures, and each pair of possible combinations of an application and a computing infrastructure is determined. One or more statistical classifiers are created, based on the determined similarity. | 11-12-2015 |
| 20150324696 | PREDICTION OF AVAILABLE GENERATOR RUNNING TIME - At least one aspect of the invention is directed to a power monitoring system including a generator coupled to a fuel tank, a plurality of monitors, and a processor configured to monitor one or more loads drawing power from the generator; monitor one or more parameters that affect the amount of power drawn by the one or more loads; monitor a fuel consumption rate of the generator; generate one or more load profiles for each of the one or more loads; receive a set of the one or more loads for which a predicted time is to be generated; receive values for the one or more parameters; generate a predicted load profile for the set of the one or more loads and the values of the one or more parameters; receive information indicating an amount of remaining fuel; and calculate a predicted available run time. | 11-12-2015 |
| 20150324697 | METHOD OF PREDICTING CRACK GROWTH AND INFORMATION PROCESSING DEVICE THEREFOR - A method of predicting growth of a crack in a member includes memorizing, for each portion on the member, stress distribution Δσ(a) in the depth direction obtained in the case that no crack is present, a relationship between depth of growing cracks and creep contribution, and a relationship between creep contribution and parameters C and in of the Paris's law, receiving from a user an indication of a certain portion on the member, acquiring the stress distribution Δσ(a) in the depth direction for the certain portion, acquiring a creep contribution at the depth of a growing crack for the certain portion, from the relationship between depth of cracks and creep contribution memorized for the certain portion, and acquiring parameters C and in corresponding to the acquired creep contribution, from the relationship between creep contribution and parameters C and m of the Paris's law memorized for the certain portion. | 11-12-2015 |
| 20150324698 | CONTEXT-AWARE DECISION MAKING - A context-aware decision making system may include at least one processor circuit that is configured to obtain an environmental profile of an environment associated with a user. The at least one processor circuit is configured to determine a predicted behavior of the user based at least on the obtained environmental profile. The at least one processor circuit may be configured to determine the predicted behavior of the user using at least one predictive model associated with the user. The at least one processor circuit may be configured to perform an action related to the predicted behavior of the user, such as an action that facilitates the predicted behavior of the user, an action that impedes the predicted behavior of the user, and/or an action that provides information related to the predicted behavior of the user. | 11-12-2015 |
| 20150332004 | METHOD AND SYSTEM TO IDENTIFY FRAILTY USING BODY MOVEMENT - Systems and methods are disclosed which provide a way to diagnose frailty using an upper extremity (and/or other body portions) frailty assessment. Within this method, several parameters can be calculated based on the kinematics (e.g., pure motion without including forces) and kinetics (e.g., analysis of forces and moments) of, for example, joint flexion/extension. An ordinal and/or continuous frailty score can be determined based on calculated markers of frailty, such as slowness, weakness, flexibility, and/or exhaustion, while performing a short-duration upper extremity task. Patients can be classified as non-frail, pre-frail, or frail. | 11-19-2015 |
| 20150332143 | PROVIDING RELEVANT KNOWLEDGE TO A USER BASED ON THE REQUIREMENTS OF THE USER - Providing relevant knowledge to a user based on the requirements of the user. This invention relates to management of knowledge present with an organization and more particularly to making the knowledge present within an organization available to employees at the right time. The principal object of this invention is to provide a method and system for providing relevant knowledge to a user seamlessly at every specific phase of his/her project development. Another object of the invention is to provide a method and system for providing the relevant knowledge of project phase and technology to a user who is a part of the project, without searching. | 11-19-2015 |
| 20150339572 | SYSTEMS AND TECHNIQUES FOR PREDICTIVE DATA ANALYTICS - Systems and techniques for predictive data analytics are described. In a method for selecting a predictive model for a prediction problem, the suitabilities of predictive modeling procedures for the prediction problem may be determined based on characteristics of the prediction problem and/or on attributes of the respective modeling procedures. A subset of the predictive modeling procedures may be selected based on the determined suitabilities of the selected modeling procedures for the prediction problem. A resource allocation schedule allocating computational resources for execution of the selected modeling procedures may be generated, based on the determined suitabilities of the selected modeling procedures for the prediction problem. Results of the execution of the selected modeling procedures in accordance with the resource allocation schedule may be obtained. A predictive model for the prediction problem may be selected based on those results. | 11-26-2015 |
| 20150339576 | Optimization of Mixed-Criticality Systems - A mechanism is provided for optimization of mixed-criticality systems. A plurality of strategies is received that are in a fixed order of criticality. For each strategy in the plurality of strategies, a multivariate objective function and a multivariate constraint in a multivariate decision variable is obtained. A number of strategies of the plurality of strategies that are feasible in combination are maximized. A solution that is feasible for the number of strategies that are feasible in combination is generated such that the objective of a least-critical strategy that is feasible in combination with the other strategies in the number of strategies is optimized. | 11-26-2015 |
| 20150347902 | Defense and Denial Method - The presently disclosed method and system includes a network of computer devices, sensors, and actuators operating in concert with application software to actively detect, identify, and localize threats and generate real-time countermeasures designed to delay and/or mitigate damage that may be caused by the threats. Application software, in the form of automated reasoning and logic control, initiates preparatory and countermeasure sequences automatically, which may be used by users or automatically executed by the system to at least delay an attack to a physical asset/area by adversaries with use of non-lethal actuators. Learned scenarios are generated and continuously adapted via feedback loops and decision rules to provide preparatory and countermeasure sequences that maximize results with minimal expenditure of assets. | 12-03-2015 |
| 20150347904 | METHOD AND SYSTEM FOR OPTIMIZATION OF AN EXSANGUINATION TOURNIQUET - The present invention discloses a system, method, and computer program product for determining an optimal compressive pressure of an exsanguination tourniquet and an exsanguination tourniquet, system, and method of assembly. The method includes obtaining at least one parameter related to a tourniquet material, at least one parameter related to the tourniquet positioning, and identifying information comprising a description of at least one component of the tourniquet, selecting program instructions for execution by the processor, determining a compressive pressure of the tourniquet by executing selected program instructions, and determining if the compressive pressure of the tourniquet is optimized. | 12-03-2015 |
| 20150347910 | DEVICES, METHODS, AND ASSOCIATED INFORMATION PROCESSING FOR SECURITY IN A SMART-SENSORED HOME - This patent specification relates to apparatus, systems, methods, and related computer program products for providing home security objectives, such as calculating a security score for a home. More particularly, this patent specification relates to a plurality of devices, including intelligent, multi-sensing, network-connected devices, that communicate with each other and/or with a central server or a cloud-computing system to provide any of a variety of useful home security objectives, such as calculating a security score for a home. | 12-03-2015 |
| 20150356406 | Method for Performing Insight Operations Within a Cognitive Environment - A method for providing cognitive insight via a cognitive information processing system comprising: encapsulating an operation for providing a desired cognitive insight; and, applying the operation to a target cognitive graph to generate a cognitive insight based | 12-10-2015 |
| 20150356407 | Cognitive Personas - A method, system and computer-usable medium for performing cognitive computing operations comprising receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph; defining a cognitive persona within the cognitive graph, the cognitive persona corresponding to an archetype user model, the cognitive persona comprising a set of nodes in the cognitive graph; associating a user with the cognitive persona; and, performing a cognitive computing operation based upon the cognitive persona associated with the user. | 12-10-2015 |
| 20150356408 | Cognitive Personas - A method, system and computer-usable medium for performing cognitive computing operations comprising receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph; defining a cognitive persona within the cognitive graph, the cognitive persona corresponding to an archetype user model, the cognitive persona comprising a set of nodes in the cognitive graph; associating a user with the cognitive persona; and, performing a cognitive computing operation based upon the cognitive persona associated with the user. | 12-10-2015 |
| 20150356409 | Weighted Cognitive Personas and Profiles - A method, system and computer-usable medium for performing cognitive computing operations comprising receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph; defining a cognitive persona within the cognitive graph, the cognitive persona corresponding to an archetype user model, the cognitive persona comprising a set of nodes in the cognitive graph, links among the set of nodes being weighted to provide a weighted cognitive graph; associating a user with the cognitive persona; and, performing a cognitive computing operation based upon the cognitive persona associated with the user. | 12-10-2015 |
| 20150356410 | Weighted Cognitive Personas and Profiles - A method, system and computer-usable medium for performing cognitive computing operations comprising receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph; defining a cognitive persona within the cognitive graph, the cognitive persona corresponding to an archetype user model, the cognitive persona comprising a set of nodes in the cognitive graph, links among the set of nodes being weighted to provide a weighted cognitive graph; associating a user with the cognitive persona; and, performing a cognitive computing operation based upon the cognitive persona associated with the user. | 12-10-2015 |
| 20150356411 | Cognitive Profiles - A method, system and computer-usable medium for performing cognitive computing operations comprising receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph; defining a cognitive persona within the cognitive graph, the cognitive persona corresponding to an archetype user model, the cognitive persona comprising a set of nodes in the cognitive graph; associating a user with the cognitive persona; defining a cognitive profile within the cognitive graph, the cognitive profile comprising an instance of the cognitive persona that references personal data associated with the user; associating the user with the cognitive profile; and, performing a cognitive computing operation based upon the cognitive profile associated with the user. | 12-10-2015 |
| 20150356412 | Cognitive Profiles - A method, system and computer-usable medium for performing cognitive computing operations comprising receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph; defining a cognitive persona within the cognitive graph, the cognitive persona corresponding to an archetype user model, the cognitive persona comprising a set of nodes in the cognitive graph; associating a user with the cognitive persona; defining a cognitive profile within the cognitive graph, the cognitive profile comprising an instance of the cognitive persona that references personal data associated with the user; associating the user with the cognitive profile; and, performing a cognitive computing operation based upon the cognitive profile associated with the user. | 12-10-2015 |
| 20150356413 | PLANT CONTROL DEVICE - According to the plant control device of this invention, based on a modified target value candidate of a control output, a reference governor uses a prediction model in which a closed loop system including a plant and a feedback controller are modeled to sequentially calculate, across a finite prediction horizon, a predicted value of state quantities of a plant including a specific state quantity on which a constraint is imposed. At such time, if a predicted value of a specific state quantity relating to a certain modified target value candidate conflicts with a constraint, the reference governor excludes the modified target value candidate from candidates for a final modified target value. Thus, the computational load required to modify a target value of a control output is decreased while ensuring the satisfiability of a constraint. | 12-10-2015 |
| 20150356416 | Travel-Related Cognitive Profiles - A method, system and computer-usable medium for performing cognitive computing operations comprising receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph; defining a travel-related cognitive persona within the cognitive graph, the travel-related cognitive persona corresponding to an archetype user model, the travel-related cognitive persona comprising a set of nodes in the cognitive graph; associating a user with the travel-related cognitive persona; defining a travel-related cognitive profile within the cognitive graph, the travel-related cognitive profile comprising an instance of the travel-related cognitive persona that references personal data associated with the user; associating the user with the travel-related cognitive profile; and, performing a cognitive computing operation based upon the travel-related cognitive profile associated with the user. | 12-10-2015 |
| 20150356417 | Travel-Related Cognitive Profiles - A method, system and computer-usable medium for performing cognitive computing operations comprising receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph; defining a travel-related cognitive persona within the cognitive graph, the travel-related cognitive persona corresponding to an archetype user model, the travel-related cognitive persona comprising a set of nodes in the cognitive graph; associating a user with the travel-related cognitive persona; defining a travel-related cognitive profile within the cognitive graph, the travel-related cognitive profile comprising an instance of the travel-related cognitive persona that references personal data associated with the user; associating the user with the travel-related cognitive profile; and, performing a cognitive computing operation based upon the travel-related cognitive profile associated with the user. | 12-10-2015 |
| 20150356452 | DISTRIBUTED DYNAMIC DETECTION OF SIGNATURES FROM ENTITY INDICATORS - Autonomous computational processes (“agents”) representing application-specific domain entities are provided with application-independent methods and data structures to monitor one or more streams of behavioral indicator data observed in their respective entities and detect and report the presence of application-defined patterns of satisfied constraints (signatures) in real time. The invention specifies two agent populations, one (“Host Agents”) representing each domain entity with a dedicated agent that maintains current signature detection probabilities (and their constraint components), the other (“Indicator Agents”) continuously monitoring the behavioral indicator data and updating constraint satisfaction and signature detection probabilities. | 12-10-2015 |
| 20150363693 | ARCHITECTURE AND METHODOLOGY FOR PERFORMING REAL-TIME AUTONOMOUS ANALYTICS OVER MULTIPLE ACTUAL AND VIRTUAL DEVICES - A device for performing autonomous analytics comprises one or more adaptors, device hierarchy data, and an analytic executive. The adaptors are configured to adapt data streams from one or more heterogeneous data sources into a tagged dataset. The device hierarchy data comprises an identification of one or more hierarchical relationships between the device and one or more additional devices. The analytic executive is configured to identify a plurality of relevant devices based on the device hierarchy data and collect device data from each of the plurality of relevant devices. The analytic executive is further configured to generate a collection of analytic models using the collected device data, score one or more new data items included in the tagged dataset using the collection of analytic models, yielding scored results, and use one or more business rules to trigger an action based on the scored results. | 12-17-2015 |
| 20150363694 | A SYSTEM AND METHOD FOR SMART PUBLIC ALERTS AND NOTIFICATIONS - Disclosed is a method and system for dynamically generating a customized, personalized and contextual alert for a user based with the profile of the user. The system comprises a profile updater module configured to update the profile data of the user extracted either from the social web or from the user. Further, a reasoning module is configured to derive refined background knowledge in context with the updated profile data of the user. A monitoring module is configured to monitor the events sensed by a sensing module. A context extractor module is configured for extracting the context of the events and the context of the user. A knowledge converter module is configured to convert the extracted context into structured format. Finally, the refined background knowledge is steam reasoned to determine whether the events received are relevant to the user and accordingly transmitted. | 12-17-2015 |
| 20150363703 | AUTOMATED MULTI-OBJECTIVE SOLUTION SELECTION - A method, apparatus and product for automated multi-objective solution selection. The method comprises obtaining a set of solutions to a multi-objective problem, wherein each solution is a non-dominated solution. The method further comprises computing outranking weights for each pair of solutions and selecting a subset of the set of solutions based upon a defensive criteria in with respect to the outranking weights, wherein the defensive criteria relates to a number of solutions that outrank the subset. The method further comprises outputting the subset of the set of solutions | 12-17-2015 |
| 20150363704 | Dynamic Bloom Filter Operation for Service Discovery - This disclosure relates to service discovery using a dynamically configurable Bloom filter. According to some embodiments, various parameters of the Bloom filter may be determined by a first wireless device. The parameters may include a number of services advertised using the Bloom filter, a false positive rate of the Bloom filter, a set of hash functions used with the Bloom filter, and/or a size of the Bloom filter. The Bloom filter may be generated according to the determined parameters. The Bloom filter, along with some or all of the parameters of the Bloom filter, may be transmitted by the first wireless device. A second wireless device may use the Bloom filter as part of a service discovery process to determine whether or not a desired service is available via the first wireless device. | 12-17-2015 |
| 20150371136 | RESPONSE PLANNING AND EXECUTION AIDING SYSTEM AND METHOD - A system for planning and executing a response to an incident includes a planning and execution data source and a processing system. The processing system is in operable communication with the planning and execution database. The processing system is configured to generate pre-planned responses to be executed by associated response assets, store data representative of the pre-planned responses in the planning and execution database, selectively retrieve a pre-planned response from the planning and execution database, communicate with the response assets associated with the retrieved pre-planned response, provide real-time tracking of the retrieved pre-planned response being executed by the associated response assets, and selectively generate recommendations for modifying the retrieved pre-planned response. | 12-24-2015 |
| 20150371137 | Displaying Quality of Question Being Asked a Question Answering System - A mechanism is provided in a data processing system for automatically generating question and answer pairs for training a question answering system for a given domain. The mechanism receives user input of question text for a question to be submitted to a question answering system in a user interface. The mechanism determines a question strength score for the question text. The question strength score represents a likelihood the question text will result in a correct answer with high confidence. The mechanism presents a graphical representation of the question strength score in the user interface. | 12-24-2015 |
| 20150379400 | APPARATUS AND METHODS FOR PROVIDING RECOMMENDATIONS BASED ON ENVIRONMENTAL DATA - Embodiments of apparatus and methods for providing recommendations based on environmental data and associated contextual information are described. In embodiments, an apparatus may include a data collector to receive environmental data and an analysis module to identify a behavioral model of the first user based at least in part on the environmental data associated contextual information of the first user. The apparatus may further include a recommendation module to provide a recommendation to the first user based at least in part on the behavioral model of the first user and/or environmental data for a second user. Other embodiments may be described and/or claimed. | 12-31-2015 |
| 20150379408 | Using Sensor Information for Inferring and Forecasting Large-Scale Phenomena - Various techniques for inference and prediction about large-scale phenomena from sensors are described herein. A system includes a processor to execute processor executable code, wherein the processor executable code, when executed by the processor, causes the processor to combine sensor data from a plurality of sensors embedded in moving objects. The code causes the processor to process the combined data using a spatial statistics model. The code also enables the processor to infer an unobserved condition or to predict a future condition based on the processed data. | 12-31-2015 |
| 20160004827 | GEOGRAPHIC UTILIZATION OF ARTIFICIAL INTELLIGENCE IN REAL-TIME FOR DISEASE IDENTIFICATION AND ALERT NOTIFICATION - Systems and methods for generating a diagnosis are provided. In some aspects, a computing device receives medical information for a patient, wherein each medical information item in the medical information comprises a date, a source, and a medical state. The computing device constructs, in a memory of the computing device, a diagnosis tree for the patient, wherein the diagnosis tree comprises a patient node, the patient node having first children nodes corresponding to the dates or the sources, and the first children nodes having second children nodes corresponding to the medical states. The computing device generates a diagnosis for the patient using the constructed diagnosis tree. | 01-07-2016 |
| 20160004966 | Adaptive Probabilistic Computer-Controlled Method and System - An adaptive probabilistic computer-controlled method and system determines computer-controlled actions that are expected to reduce uncertainties that are embodied as probabilities and then updates the probabilities in accordance with the results of the computer-controlled actions. The updated probabilities inform the determination of subsequent computer-controlled actions. Expected values of information may also be applied in determining the subsequent computer-controlled actions. The computer-controlled actions may comprise analysis of content and generating recommendations that are delivered to users, and inferences from the analysis of content and usage behaviors may inform the updating of the probabilities. Statistical learning functions and/or neural networks may be applied in determining the computer-controlled actions. | 01-07-2016 |
| 20160004967 | SYSTEMS AND METHODS FOR SOLVING UNRESTRICTED INCREMENTAL CONSTRAINT PROBLEMS - We present the architecture of a high-performance constraint solver R-Solve that extends the gains made in SAT performance over the past fifteen years on static decision problems to problems that require on-the-fly adaptation, solution space exploration and optimization. R-Solve facilitates collaborative parallel solving and provides an efficient system for unrestricted incremental solving via Smart Repair. R-Solve can address problems in dynamic planning and constrained optimization involving complex logical and arithmetic constraints. | 01-07-2016 |
| 20160004974 | DETECTING UNEXPECTED BEHAVIOR - Disclosed are various embodiments for detecting unexpected behavior. A path associated with a user is tracked. It is determined whether the path corresponds to at least one intent grouping that in turn corresponds to an expected behavior. Unexpected behavior is identified when the path does not correspond to at least one intent grouping. | 01-07-2016 |
| 20160012332 | DYNAMIC MATHEMATICAL VALIDATION USING DATA MINING | 01-14-2016 |
| 20160012334 | Hierarchical Sparse Dictionary Learning (HiSDL) for Heterogeneous High-Dimensional Time Series | 01-14-2016 |
| 20160012335 | Utilizing Temporal Indicators to Weight Semantic Values | 01-14-2016 |
| 20160012339 | Polynomial Method of Constructing a Non-Deterministic (NP) Turing Machine | 01-14-2016 |
| 20160026917 | RANKING OF RANDOM BATCHES TO IDENTIFY PREDICTIVE FEATURES - Methods, media, and systems for selecting features that are predictive of a particular outcome from large sets of potentially-predictive features are disclosed. The feature-selection process involves generating random batches of features and ranking the batches according to how accurately a predictive model based on each batch of features performs. Predictive features are selected according to an aggregate rank of the batches in which they are included. | 01-28-2016 |
| 20160034816 | IDENTIFICATION OF COMPREHENSION BURDEN IN MULTIMEDIA CONTENT - Methods and arrangements for identifying burden comprehension in multimedia content. A contemplated method includes: accepting multimedia input; detecting components of the multimedia input; determining a comprehension burden score of each of the detected components; and thereupon calculating a total comprehension burden score for the multimedia input. Other variants and embodiments are broadly contemplated herein. | 02-04-2016 |
| 20160034817 | METHOD AND APPARATUS FOR CATEGORIZING DEVICE USE CASE - Systems and methods are disclosed for categorizing a device use case for on foot motion with a portable device. Motion sensor data corresponding to motion of the portable device may be obtained, such as from a sensor assembly of the device. The motions sensor data is processed. Further, a use case characteristic may be determined from the processed and/or raw motion sensor data, an effective frequency may be determined from the processed and/or raw motion sensor data and/or an Eigen use case may be determined. The device use case may then be classified using the processed and/or raw motion sensor data and at least one of the use case characteristic, the effective frequency and the Eigen use case. | 02-04-2016 |
| 20160034820 | SYSTEMS AND METHODS FOR DISTRIBUTED SOLUTION OF OPTIMIZATION PROBLEMS - A framework is presented for designing a class of distributed, asynchronous optimization algorithms realized as signal processing architectures utilizing various conservation principles. The architectures are specifically based on stationary conditions pertaining to primal and dual variables in a class of generally nonconvex optimization problems. The stationary conditions, which are closely related to the principles of stationary content and co-content that naturally arise from Tellegen's theorem in electrical networks, are transformed via a linear change of coordinates to obtain a set of linear and nonlinear maps that form the basis for implementation. The resulting algorithms can operate by processing a linear superposition of primal and dual decision variables using the associated maps, coupled using synchronous or asynchronous delay elements to form a distributed system. Tables are provided containing example elements that can be assembled to form various optimization algorithms directly from the associated problem statements. | 02-04-2016 |
| 20160042274 | KNOWLEDGE AUTOMATION SYSTEM ADAPTIVE FEEDBACK - Knowledge automation techniques may include receiving a selection of a knowledge unit from a plurality of knowledge units for addition into a target knowledge pack, and computing, for each remaining knowledge unit in the plurality of knowledge units, a knowledge unit distance metric between the selected knowledge unit and the remaining knowledge unit. Based on the knowledge unit distance metric, a set of one or more relevant knowledge units can be determined. For each relevant knowledge unit, one or more knowledge packs from a set of published knowledge packs that the relevant knowledge unit is part of can be identified. One or more suggested knowledge consumers for the target knowledge pack can be determined from the knowledge consumers of the identified knowledge packs. | 02-11-2016 |
| 20160042275 | Debugging Code Using a Question and Answer System Based on Documentation and Code Change Records - Mechanisms are provided, in a Question and Answer (QA) system comprising a processor and a memory, for debugging code. An input question identifying an error during execution of code is processed by the QA system using a corpus corresponding to a software product associated with the code, thereby generating a first candidate answer set. The QA system processes the input question using a code change record repository identifying changes to the code performed over time to generate a second candidate answer set. The QA system generates a final answer to the input question based on the first and second candidate answer sets and outputs the final answer to the input question. The final answer to the input question identifies at least one of a source, in the code, of the error or a solution to resolving the error. | 02-11-2016 |
| 20160042277 | SOCIAL ACTION AND SOCIAL TIE PREDICTION - Example implementations relate to predicting social actions and social ties of users in a social network. For example, a computing device may include a processor. The processor may access social network data associated with a set of users of a social network. The processor may also parse social action data and social tie data from the social network data and calculate a set of parameters defining relationships between the social action data and the social tie data. The processor may further determine, using the set of parameters, a social action and a social tie associated with a particular user of the social network. | 02-11-2016 |
| 20160042279 | Recommending Objects To A User Of A Social Networking System Based On Implicit Interactions Between The User And The Recommended Objects - The social networking system monitors implicit interactions between a user and objects of the social networking system with which the user has not established a connection. Based on the implicit interactions between the user and an object, the social networking system identifies a soft connection between the user and the object. The social networking system may then identify soft connections to include in a candidate list of soft connections to recommend to the user. The social networking system may also extract signals from the set of candidate list of soft connections, and may use the extracted signals to rank the soft connections in the list of candidate soft connections. The social networking system may then recommend soft connections to the user based on the rank associated with the soft connections in the candidate list of soft connections. | 02-11-2016 |
| 20160042280 | NETWORK RESILIENCY THROUGH MEMORY HEALTH MONITORING AND PROACTIVE MANAGEMENT - A method for managing a network queue memory includes receiving sensor information about the network queue memory, predicting a memory failure in the network queue memory based on the sensor information, and outputting a notification through a plurality of nodes forming a network and using the network queue memory, the notification configuring communications between the nodes. | 02-11-2016 |
| 20160042282 | RELATIONSHIP EVALUATOR - Among other things, one or more systems and/or techniques for determining one or more relationship suggestions and/or predictions based upon one or more relationship values are provided herein. One or more user inputs received from at least one user, simulation, and/or population may be used to determine safe and/or acceptable matches. Based upon one or more safe matches corresponding to a preferred level of compatibility and/or one or more acceptable matches corresponding to an adequate level of compatibility, one or more time dependent values may be generated using one or more functions (e.g., the partition function) and factors (e.g., rigidity, depreciation, and/or people met and/or relationships made per time period). The one or more relationship values may be used to determine one or more relationship suggestions and/or predictions. | 02-11-2016 |
| 20160042284 | SYSTEMS AND METHODS FOR PREDICTING MEME VIRALITY BASED ON NETWORK STRUCTURE - Systems and methods for predicting virality of a content item are disclosed. A method includes: receiving a social network structure; identifying communities within the social network structure, where communities are identified as dense subnetworks in the social network structure; receiving social network content that includes one or more content items; and identifying one or more content items that are predicted to become viral based on utilization of the content items between different communities in the social network structure. | 02-11-2016 |
| 20160048758 | SYSTEM AND METHOD FOR PERSISTENT EVIDENCE BASED MULTI-ONTOLOGY CONTEXT DEPENDENT ELIGIBILITY ASSESSMENT AND FEATURE SCORING - A system and method configured to provide persistent evidence based multi-ontology context dependent decision support, eligibility assessment and feature scoring. Decisions are achieved via a probabilistic functional extension of both potentiality and plausibility towards nouns in all data forms. Plausibility refers to the full set of values garnered by the evidence accumulation process while potentiality is a mechanism to set the various match threshold values. The thresholds define acceptable confidence levels for decision-making and wherein both plausibility and potentiality are implemented through statistical applications which model and estimate the distribution of random vectors by estimating margins and copula separately from all data types. Evidence is filtered by margins and copula on a persistent basis from the scoring of newly harvested content and refined results are computed on the basis of partial matching of feature vector elements for separate and distinct feature weightings associated with the given entity and each of the reference entities within the compressed copula. | 02-18-2016 |
| 20160055412 | Predictive Model Generator - Methods, systems, and apparatuses, including computer programs encoded on a computer storage medium, can be implemented to perform actions including receiving input data defining a predictive model, the predictive model including multiple features. The actions further include weighting the predictive model iteratively for each feature, using actual data including values for each feature for multiple entities within a population, by iteratively adjusting a current weight for the feature by a momentum until the momentum equals zero, the momentum being iteratively adjusted by a momentum factor based on whether a model score improves, the model score being calculated based on the actual data. The actions further include calculating a value score for the entity using the weighted predictive model. | 02-25-2016 |
| 20160055421 | HEURISTIC GRAPH EMBEDDING METHODS FOR ADIABATIC QUANTUM COMPUTATION OPTIMIZATION - Methods are provided for implementing schemes for embedding a particular optimization problem into a particular hardware solution employing unique graph embedding techniques. The disclosed methods implement an adiabatic quantum optimization in a quantum computing device or a quantum processor. Heuristics for graph minor embedding are employed to map a problem graph structure of a particular binary unconstrained optimization problem onto a physical graph structure (topology) of the quantum computing device or quantum processor to provide an optimized hardware implementation. Known constraints that are presented with current schemes in their application to particular hardware solutions are avoided, including limited qubit connectivity and the presence of faulty qubits. | 02-25-2016 |
| 20160062735 | ACQUISITION AND ASSESSMENT OF CLASSICALLY NON-INFERABLE INFORMATION - Mind-enabled question answering (MEQA) systems ( | 03-03-2016 |
| 20160063374 | DECISION-MAKING PROCESS FOR ELEMENTS IN A DISTRIBUTED NETWORK - A decision-making process is implemented by a decider processing unit. The decision-making process includes the propagation of a proposition in a distributed network of processing units, with each processing unit being provided with decision intelligence | 03-03-2016 |
| 20160063375 | DETERMINATION OF SUBSTANCES IN AN ASSEMBLY - A processor identifies a component included in an assembly. The processor retrieves historical records that indicate which substances are included in the component. The processor determines a probability that the component includes the substances based on at least one historical record. The processor generates a list of substances included in the assembly based on the substances being statistically likely to be present in the component of the assembly. | 03-03-2016 |
| 20160063376 | OBTAINING USER TRAITS - A method for obtaining user traits. In response to a first kind of data of a target user not being sufficient to obtain a trait of the target user, a second kind of data of the target user is collected, where the first kind of data and the second kind of data are different kinds of data. Based on the second kind of data, one or more reference users similar to the target user are determined. Based on the first kind of data of the reference users, the trait of the target user is determined. | 03-03-2016 |
| 20160063392 | METHOD AND SYSTEM FOR IDENTIFYING DEPENDENT COMPONENTS - Embodiments include processing a data structure representing a dependency matrix having columns representing respective first components and rows representing respective second components. Aspects include assigning each cell of the matrix a value indicative of the level of dependency or indicative of an unknown dependency of a pair of first and second components forming the cell and assigning each component of the first and second components an affiliation vector indicative of the strength of affiliation of the component to N predefined initial clusters of cells of the matrix. Aspects also include determining a probability model using the affiliations vectors parameters and estimating the parameters of the probability model for a plurality of different numbers of clusters starting from the initial number N of clusters. Aspects further include computing a score for the parameters of the probability model estimated and selecting the parameters of the probability model with the highest computed score. | 03-03-2016 |
| 20160068169 | SYSTEMS AND METHODS FOR SUGGESTING AND AUTOMATING ACTIONS WITHIN A VEHICLE - The present disclosure relates to systems for implementing a computer-readable storage device comprising instructions, including a behavior recognizer, that, when executed by a system having a processor, cause the processor to perform operations, for providing personalized proactive assistance to a vehicle user. The operations comprise receiving a behavior input data package comprising a sequence of user events using the behavior recognizer, and determining the behavior input data package indicates proactive assistance to be presented to the vehicle user by the system, using a user behavior model and a machine state model of the behavior recognizer. The disclosure also relates to methods for providing personalized proactive assistance to a vehicle user. | 03-10-2016 |
| 20160071012 | TEST SIZE REDUCTION USING DON'T CARE ANALYSIS - Systems and methods are disclosed to determine “don't care” variables in programming code. The method comprises obtaining an SMT formula having a plurality of SMT variables from programming code; obtaining a simplified SMT formula from the SMT formula, the simplified SMT formula includes a plurality of simplified SMT variables; obtaining an SAT formula from the simplified SMT formula, the SAT formula includes a plurality of SAT variables; determining which of the plurality of the SMT variables are “don't care” variables from the simplified SMT formula; and determining which of the plurality of the SMT variables are “don't care” variables from the simplified SAT formula. | 03-10-2016 |
| 20160078341 | Building a Domain Knowledge and Term Identity Using Crowd Sourcing - An approach is provided in which a QA system ingests traditional sources, which includes traditional terms, into a domain dictionary. Next, the QA system ingests crowd-based sources that include crowd-based terms and corresponding crowd-based metadata. In turn, the QA system calculates weightings pertaining to the traditional terms based upon the crowd-based metadata. When the QA system receives a question from a requestor that includes question terms, the QA system identifies an answer to the question based on the calculated weightings pertaining to the traditional terms that are relevant to the question terms. | 03-17-2016 |
| 20160085856 | GENERATION OF SUPPORT DATA RECORDS USING NATURAL LANGUAGE PROCESSING - A view generator receives support text characterizing a support requirement for available information technology (IT) support, the support text being received in sentence form via a graphical user interface (GUI). A text analyzer performs natural language processing on the support text and thereby identifies at least one sentence part and at least one named entity within the support text. A support record generator relates each of the at least one sentence part and the at least one named entity to a support record type, and generates a support data record for the support requirement, including filling individual fields of the support data record using the at least one sentence part and the at least one named entity. | 03-24-2016 |
| 20160086082 | PREDICTING COMMUNITY DEVELOPMENT TRENDS - Community development is supported by a community rating. Community ratings for various communities are compared to identify a preferred community. Historical community ratings are determined for the preferred community. Community rating trends are identified for the community and these trends are used for predicting future community rating(s) to support development decisions. | 03-24-2016 |
| 20160086083 | CPU CONTROL METHOD AND APPARATUS FOR IMPROVING APPLICATION PROCESSING SPEED AND POWER CONSUMPTION - A CPU control method and apparatus for improving application processing speed and power consumption are provided. An embodiment of the invention provides a method by which a CPU control apparatus controls a CPU, where the CPU control method includes: (a) measuring a reaction time of a user terminal for a running application; (b) computing a first predictive reaction time by stepwise changing a CPU frequency if the reaction time exceeds a preset threshold; (c) computing a second predictive reaction time by stepwise changing a processing weight of the application if the first predictive reaction time exceeds the preset threshold; and (d) repeating said step (c) if the second predictive reaction time exceeds the preset threshold. | 03-24-2016 |
| 20160086090 | METHOD AND APPARATUS FOR TAILORING THE OUTPUT OF AN INTELLIGENT AUTOMATED ASSISTANT TO A USER - The present invention relates to a method and apparatus for tailoring the output of an intelligent automated assistant. One embodiment of a method for conducting an interaction with a human user includes collecting data about the user using a multimodal set of sensors positioned in a vicinity of the user, making a set of inferences about the user in accordance with the data, and tailoring an output to be delivered to the user in accordance with the set of inferences. | 03-24-2016 |
| 20160092501 | DATA INSIGHT AND INTUITION SYSTEM FOR TANK STORAGE - Systems are disclosed herein for improving analytic processing and processing for handling severe outliers in a dataset that cause predictive analytic processing to fail. In one embodiment, the system comprises one or more processors, a memory communicatively coupled to the one or more processors and to store logic, the logic, upon being executed by the one or more processors, transmits instructions to filter data for only a specified one or more variables, receives a first set of specified variables corresponding to a first external database, upon receiving the first set of specified variables, accessing a second set of specified variables corresponding to a second external database, accessing a third set of specified variables corresponding to a third external database, and performing predictive analytic processing using the first set of specified variables, the second set of specified variables and the third set of specified variables to generate a first insight. | 03-31-2016 |
| 20160092768 | PROVIDING APPLICATION RECOMMENDATIONS - An example system includes a similarity module, a selection module, and a messaging module. The similarity module may receive a first set of application identifiers identifying applications downloaded or installed on at least one digital device, compare the first set of application identifiers to a second set of application identifiers identifying applications of at least one other user, generate a similarity value based on the comparison, and when the similarity value exceeds a similarity threshold, determine that the first and second sets are sufficiently similar. If the first and second sets are sufficiently similar, the selection module may determine at least one application identifier in the second set that is not in the first set. The messaging module may provide a recommendation to the first user, the recommendation including the at least one application identifier in the second set that is not in the first set. | 03-31-2016 |
| 20160092773 | INFERENCE-BASED INDIVIDUAL PROFILE - In many computing scenarios, individual profiles are generated from facts specified by, observed about, and/or inferred about individuals, and may be used to personalize services to such individual. Such facts may include details provoking a sensitivity of an individual, and it may be undesirable to reveal the collection and use of such facts to the individual; however, such facts may also enable accurately personalized service. These considerations may be balanced by partitioning the individual profile into a foreground profile, comprising facts that are revealed to the individual, and a background profile, comprising facts that are collected about but not revealed to the individual. Services may be covertly personalized for the individual based on the sensitive information stored in the background profile (e.g., restaurant recommendations that are overtly recommended based on the current location of the individual, and also covertly selected based on an inferred income level of the individual). | 03-31-2016 |
| 20160092776 | OPTIMIZING SIZING OF GRID-SCALE BATTERIES FOR FREQUENCY REGULATION SERVICES - Systems and methods for optimal sizing of one or more grid-scale batteries for frequency regulation service, including determining a desired battery output power for the one or more batteries for a particular period of time. A battery size is optimized for the one or more batteries for the particular period of time, and the optimizing is repeated using different time periods to generate a set of optimal battery sizes based on at least one of generated operational constraints or quality criteria constraints for the one or more batteries. A most optimal battery is selected from the set of optimal battery sizes. | 03-31-2016 |
| 20160098634 | TECHNIQUES FOR MANAGING DATA IN A CACHE MEMORY OF A QUESTION ANSWERING SYSTEM - A technique for caching evidence for answering questions in a cache memory of a data processing system (that is configured to answer questions) includes receiving a first question. The first question is analyzed to identify a first set of characteristics of the first question. A first set of evidence for answering the first question is loaded into the cache memory. A second question is received. The second question is analyzed to identify a second set of characteristics of the second question. A portion of the first set of evidence, whose expected usage in answering the second question is below a determined threshold, is unloaded from the cache memory. | 04-07-2016 |
| 20160098635 | System for performing linguistic behavior analysis to detect aggressive social behavior within a specified geography - An analysis system includes correlation value calculations indicating aggressive social behaviors within a specified geography performed by using computer software that quantifies keywords identified in data sources such as social media. The correlation values are calculated using a multidimensional framework, the first level of dimensions consisting of subjects such as politics, crime and terrorism, economics, and religion. Within each of the first level dimensions are sub-dimensions consisting of human behaviors such as aggression, optimism, pessimism, and pacifism. The correlation values are calculated and presented as measures of behaviors within a specified geography by using computer software to perform a proprietary algorithm. | 04-07-2016 |
| 20160104067 | RECOMMENDATION PLATFORM - Disclosed are some examples of systems, apparatus, methods and storage media for providing customized recommendations to users. Some implementations more particularly relate to a recommendation platform that enables authorized third parties to create, customize and add new recommendations that are then available to be served to target users or audiences of users. Some implementations further relate to a recommendation platform that enables authorized users to define audiences, scheduling settings, scheduling policies, and rules to customize or influence the provision of associated recommendations to the users. The recommendation platform includes a recommendation engine that serves the recommendations to users based on such defined audiences, scheduling settings, policies or other rules. | 04-14-2016 |
| 20160104072 | PIPELINING AND PARALLELISM FOR IMPLEMENTING A MIXTURE MODEL - One factor in limiting the speed of conventional implementations of mixture models is that the algorithm involves many decisions where different operations are fetched and performed depending on the outcome of the decisions. These decisions cause flushing of the pipeline, and thus prevent the realization of a highly parallel pipeline in a processor. Without parallelism, the throughput of the pipeline in the processor, i.e., the ability to process many samples of the digital input at a time, is limited. To alleviate this issue, implementation of the mixture model is reformulated, among other things, by embedding decisions into the process flow as multiplicative factors. The resulting implementation alleviates the need to use if-else statements for the decisions and reduces the number of times the pipeline has to be flushed. The implementation enables a pipeline with a higher degree of parallelism and thereby increases throughput and speed of the implementation. | 04-14-2016 |
| 20160110646 | METHOD AND SYSTEM FOR COLD-START ITEM RECOMMENDATION - Method, system, and programs for estimating interests of a plurality of users with respect to a new piece of information are disclosed. In one example, historical interests of the plurality of users are obtained with respect to one or more existing pieces of information. One or more users are selected from the plurality of users. Historical interests of the one or more users can minimize an objective function over the plurality of users. Interests of the one or more users are obtained with respect to the new piece of information. Estimated interests of the plurality of users are generated with respect to the new piece of information based on the obtained interests of the one or more users. | 04-21-2016 |
| 20160117588 | PREDICTION FUNCTION CREATION DEVICE, PREDICTION FUNCTION CREATION METHOD, AND COMPUTER-READABLE STORAGE MEDIUM - The prediction function creation device according to the present invention for creating a prediction function to derive an objective variable by using a set of samples that include explanatory variables and an objective variable, the device includes: a clustering unit that clusters the respective samples by giving labels, and assigns weights to each label in accordance with patterns of missing values for the explanatory variables in labeled samples; a child model creation unit that makes portions of the training data partial training data on the basis of the weights, and determines an explanatory variable that constitutes the prediction function on the basis of patterns of missing values for the explanatory variables in the samples; and a mixture model creation unit that creates the prediction function with respect to each pattern of missing values by using the explanatory variable and the determined partial training data. | 04-28-2016 |
| 20160125128 | ACCURATE TYPING OF HLA THROUGH EXOME SEQUENCING - Embodiments of the present disclosure present bioinformatic systems, methods, for allelic HLA typing (as well as and computer readable media having instructions for performing methods of HLA typing) using, for example, Illumina exome-sequencing data (e.g., 101 basepair, paired-end reads). | 05-05-2016 |
| 20160125294 | METHOD FOR FORECASTING ENERGY DEMANDS THAT INCORPORATES URBAN HEAT ISLAND - A method for forecasting energy demand for a single building, a neighborhood or a city in an urban environment is disclosed. The method treats urban heat island (UHI) calculations as being dynamically impacted by predicted weather conditions to calculate a weather-adjusted UHI. Predicted energy consumption rates for weather conditions use the weather-adjusted UHI to increase accuracy of the prediction. | 05-05-2016 |
| 20160132771 | Application Complexity Computation - A machine learning technique may be applied to applications hosted by an application store to extract features that can be utilized to train one or more classifiers of the applications based on their relative complexity. A processor may receive pairwise comparisons of relative complexity and feature representations for the applications to be used in training of a classifier. The processor may determine a feature set that is correlated with the pairwise comparison of relative complexity and obtain a classifier based thereupon. | 05-12-2016 |
| 20160132776 | ELECTRONIC DEVICES AND SERVICE MANAGEMENT METHODS THEREOF - Service management methods for use in an electronic device are provided, including the steps of: providing a record including at least one first event and possible probability parameters corresponding thereto, each having a weight; collecting device status information regarding information of current status of the electronic device, user operation behavior information and event triggering information using a data collector; evaluating a first evaluation value according to the device status information regarding information of current status of the electronic device, user operation behavior information and event triggering information, the possible probability parameters and respective weights of the record; and inferring that the first event reoccurs and performing a service corresponding to the first event when the first evaluation value has exceeded a threshold value. | 05-12-2016 |
| 20160132778 | SIMULATION APPARATUS, METHOD FOR THE SAME, AND PROGRAM - A simulation apparatus according to one embodiment, including: an event receiver, a decision maker and an execution command transmitter. The event receiver receives an event showing a situation of a first monitor target simulated by a first simulator simulating at least one of motion and state change of the first monitor target from a monitor apparatus monitoring a simulation of the first simulator. The decision maker determines an action based on the event, the action to be carried out with respect to a second monitor target undergoing a simulation of at least one of motion and state change by a second simulator synchronized with the first simulator by time progress. The execution command transmitter transmits an execution command of the action determined by the decision maker to a control apparatus controlling the second simulator. | 05-12-2016 |
| 20160140439 | Evidence Aggregation Across Heterogeneous Links for Intelligence Gathering Using a Question Answering System - Mechanisms, in a Question Answering (QA) system comprising a processor and a memory, for evaluating a hypothetical link in an ontology are provided. An initial analysis of the ontology is performed to identify a set of information concept entities and links between information concept entities in the ontology. The hypothetical link between a first information concept entity and a second information concept entity in the ontology is generated based on the initial analysis of the ontology. Natural language questions corresponding to the hypothetical link are processed to generate answer results directed to a plurality of links between a plurality of information concept entities. The answer results are aggregated across the plurality of links to determine an aggregate answer result for the hypothetical link. An indication of whether or not the hypothetical link is a valid link is output based on the aggregate answer result for the hypothetical link. | 05-19-2016 |
| 20160140441 | GUIDING METAHEURISTIC TO SEARCH FOR BEST OF WORST - Figures of merit by actual design parameters are tracked over iterations for candidate solutions that include both actual design parameters and actual context parameters. Instead of returning a current iteration figure of merit, a worst observed figure of merit for a set of actual design parameters is returned as the figure of merit for a candidate solution. Since the candidate solution includes both actual design parameters and actual context parameters and the worst observed figures of merit are tracked by actual design parameters, the figure of merit for a set of design parameters will be the worst of the observed worst case scenarios as defined by the actual context parameters over a run of a metaheuristic optimizer. | 05-19-2016 |
| 20160147959 | SYSTEMS, APPARATUSES AND METHODS FOR PREDICTING MEDICAL EVENTS AND CONDITIONS REFLECTED IN GAIT - A system for predicting medical events and conditions that are reflected in gait may include a data capture subsystem configured to capture data pertaining to a position and/or motion of a patient, a data analysis and outcome generation subsystem configured to analyze the captured data and to generate output pertaining to a likelihood of the patient experiencing a medical event or medical condition, and a user interface subsystem configured to provide the output to a user, e.g., healthcare provider, and to receive feedback from the user. Methods for predicting medical events and conditions reflected in gait are also provided. | 05-26-2016 |
| 20160148092 | SYSTEMS AND METHODS FOR DETERMINING ACTIVITY LEVEL AT A MERCHANT LOCATION BY LEVERAGING REAL-TIME TRANSACTION DATA - Systems and methods provide information regarding the activity level associated with a point of interest. Authorization records can be stored regarding electronic/cashless payment transactions at one or more points of interest. Activity level, such as the number of transactions that are processed during a particular period of time and/or the duration of time between subsequent transactions processed can reflect the amount of time a consumer may spend or wait to be served at the one or more points of interest. Additionally, activity levels can suggest the desirability of visiting a particular point of interest. Accordingly, based on the stored authorization records, the level of activity at the one or more points of interest can be determined and provided to the consumer to allow the consumer to choose which point of interest to visit based on the consumer's needs and/or desires. | 05-26-2016 |
| 20160148093 | Generating Additional Lines of Questioning Based on Evaluation of Previous Question - Mechanisms for generating different lines of questioning based on evaluation of a previous line of questioning are provided. A set of evidential data specifying a plurality of concept entities and input specifying a scenario to be evaluated are received. The scenario specifies a hypothetical link between at least two of the concept entities. A first set of questions corresponding to the at least two information concept entities are evaluated based on the set of evidential data. Based on results of evaluating the first set of questions, a second set of questions is automatically generated to further expand upon and investigate the results of evaluating the first set of questions. The second set of questions are processed and an indication of the scenario and a corresponding measure of support for or against the scenario being a valid scenario is output. | 05-26-2016 |
| 20160148094 | COMPUTER IMPLEMENTED SYSTEM FOR AUTOMATING THE GENERATION OF A BUSINESS DECISION ANALYTIC MODEL - The present invention envisages a system and method for automating the generation of business decision analytic models. The system uses a plurality of predictor variables stored in a plurality of data sets, to automatically create a business decision analytic model. The system includes a processor configured to process the data sets and determine the total number of records present in each of the data sets and the number of columns containing only numerical values. The processor selects a column containing only numerical values, from a dataset under consideration, and counts the number of unique numerical values in the selected column, and the total number of records present in the selected column. The two counts are compared and the selected column is transformed using a non-linear transformation to obtain a column of transformed values. The transformed values and corresponding time stamps are utilized for the purpose of model generation. | 05-26-2016 |
| 20160148095 | ELECTRONIC CALCULATING APPARATUS, METHOD THEREOF AND NON-TRANSITORY MACHINE-READABLE MEDIUM THEREOF FOR SENSING CONTEXT AND RECOMMENDING INFORMATION - An electronic calculating apparatus, a method and a non-transitory machine-readable medium are provided. The electronic calculating apparatus includes an input/output (I/O) interface, a knowledge tree database and a processor. The I/O interface receives first data of a user, wherein the first data is comprised of a natural language character string. The knowledge tree database stores a context knowledge tree. The processor receives the first data of the user via the I/O interface, analyzes the first data and generates context characteristic information, and substitutes the context characteristic information into the context knowledge tree to generate first context recommend information. The processor then enables a display apparatus to display the first context recommend information. | 05-26-2016 |
| 20160148103 | FAST BEHAVIOR AND ABNORMALITY DETECTION - A system includes an interface configured to receive time series data representing information from a plurality of sensors, and a processor configured to construct a behavior model based on the time series data. The processor identifies features in the time series data, divides the time series data of each of the identified features into segments, and extracts feature components from the segments. The processor further constructs a plurality of state graphs, each state graph including components connected by weighted edges, constructs a behavior graph, wherein the state graphs form vertices of the behavior graph, clusters the state graphs in the behavior graph; and selects a representative state graph from each cluster, wherein the behavior model includes the selected state graphs. | 05-26-2016 |
| 20160151668 | EXERCISE BEHAVIOR PREDICTION | 06-02-2016 |
| 20160154895 | GRAPH MATCHING | 06-02-2016 |
| 20160155051 | AUTONOMOUS THINKING PATTERN GENERATOR | 06-02-2016 |
| 20160155053 | INTERACTIVE METHOD TO REDUCE THE AMOUNT OF TRADEOFF INFORMATION REQUIRED FROM DECISION MAKERS IN MULTI-ATTRIBUTE DECISION MAKING UNDER UNCERTAINTY | 06-02-2016 |
| 20160155057 | SYSTEMS, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR EXPEDITING EXPERTISE | 06-02-2016 |
| 20160162652 | SYSTEMS AND METHODS FOR MODELING AND PREDICTING EFFECTIVE TREATMENTS FOR SCHIZOPHRENIA AND OTHER DISORDERS - A system and method for evaluating an effectiveness of a therapy for a psychological condition includes selecting a therapy to be analyzed relative to psychological pathology. The selected therapy is applied to a model of the psychological condition that includes hyperdopaminergia as a function. A response is determined using an output of the model of the psychological condition. The response is compared to a control to determine a wellness metric and a report is generated indicating an effectiveness of the therapy based on the wellness metric. | 06-09-2016 |
| 20160162792 | SYSTEMS, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR EXPEDITING EXPERTISE - A system includes a user model module that generates a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, a expertise model building module that generates a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, and a processor of a computer that executes instructions for comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic. | 06-09-2016 |
| 20160169769 | ROTATING BODY MONITORING AND ALERT SYSTEM AND METHOD | 06-16-2016 |
| 20160171368 | QUANTUM PROCESSOR PROBLEM COMPILATION | 06-16-2016 |
| 20160171369 | TECHNICAL AND SEMANTIC SIGNAL PROCESSING IN LARGE, UNSTRUCTURED DATA FIELDS | 06-16-2016 |
| 20160171374 | NETWORK DEVICE PREDICTIVE MODELING | 06-16-2016 |
| 20160171379 | SYSTEM AND METHOD FOR DEPLOYING PREDICTIVE MODELS | 06-16-2016 |
| 20160180216 | TECHNIQUES FOR ANSWERING USER QUESTIONS BASED ON USER EXPERTISE LEVEL | 06-23-2016 |
| 20160180217 | QUESTION ANSWERING WITH ENTAILMENT ANALYSIS | 06-23-2016 |
| 20160180218 | AUTOMATED OPINION PREDICTION BASED ON INDIRECT INFORMATION | 06-23-2016 |
| 20160180219 | AUTOMATED OPINION PREDICTION BASED ON INDIRECT INFORMATION | 06-23-2016 |
| 20160180226 | METHOD AND SYSTEM FOR EVALUATING SEQUENCES | 06-23-2016 |
| 20160180228 | INCREMENTALITY MODELING | 06-23-2016 |
| 20160180230 | PATTERN BASED BEHAVIOR MODEL FOR SYSTEM MANAGEMENT | 06-23-2016 |
| 20160180231 | PATTERN BASED BEHAVIOR MODEL FOR SYSTEM MANAGEMENT | 06-23-2016 |
| 20160180238 | Biasing effects on the contextualization of a proposition by like-minded subjects considered in a quantum representation | 06-23-2016 |
| 20160180240 | APPARATUS AND METHOD FOR HIGH PERFORMANCE DATA ANALYSIS | 06-23-2016 |
| 20160189028 | Systems and Methods of Using a Knowledge Graph to Provide a Media Content Recommendation - In an exemplary method, a media content recommendation system interfaces with a knowledge graph system to access knowledge graph data that represents a knowledge graph relationship between a subject and a media program in a knowledge graph, generates, based on the knowledge graph data, a media content recommendation that includes recommendation content indicating the media program and the knowledge graph relationship between the subject and the media program, and outputs the media content recommendation for presentation to a user by a user computing device. | 06-30-2016 |
| 20160189029 | Displaying Quality of Question Being Asked a Question Answering System - A mechanism is provided in a data processing system for automatically generating question and answer pairs for training a question answering system for a given domain. The mechanism receives user input of question text for a question to be submitted to a question answering system in a user interface. The mechanism determines a question strength score for the question text. The question strength score represents a likelihood the question text will result in a correct answer with high confidence. The mechanism presents a graphical representation of the question strength score in the user interface. | 06-30-2016 |
| 20160189030 | PREDICTING USER NAVIGATION EVENTS - A method and system for predicting a next navigation event are described. Aspects of the disclosure minimize the delay between a navigation event and a network response by predicting the next navigation event. The system and method may then prerender content associated with the next navigation event. For example, the method and system may predict a likely next uniform resource locator during web browsing to preemptively request content from the network before the user selects the corresponding link on a web page. The methods describe a variety of manners of predicting the next navigation event, including examining individual and aggregate historical data, text entry prediction, and cursor input monitoring. | 06-30-2016 |
| 20160189032 | SERVER COMPUTING DEVICE FOR RECOMMENDING MEETING A FRIEND AT A SERVICE LOCATION BASED ON CURRENT LOCATION, TRAVEL DIRECTION, AND CALENDAR ACTIVITY - A server computing device and related method for providing recommendations to a user computing device are disclosed. In one example, user activity of the user of a user computing device and friend activity of a friend using a friend computing device are received. A request for a recommendation is received from the user device. Based on the user and friend activities, it is estimated that the user and friend will approach an intersecting location within a window of time, and the user and friend are available to meet in that window. A recommendation of a service offered within a distance of the location is sent, with the recommendation displayed on the user computing device. | 06-30-2016 |
| 20160189033 | NLP Duration and Duration Range Comparison Methodology Using Similarity Weighting - A mechanism is provided in a question answering system for duration similarity weighting in a question answering system. The question answering system receives an input question. The question answering system generates a plurality of candidate answers to the input question using a corpus of information. The question answering system identifies a question-side duration value for the input question and identifies a policy-side duration value for a policy to be applied to an entity identified in the input question. The question answering system determines a duration similarity weight for each of the plurality of candidate answers. The question answering system applies the duration similarity weight to each of the plurality of candidate answers. The question answering system ranks the plurality of candidate answers and outputs one or more of the candidate answers. | 06-30-2016 |
| 20160189043 | CRIME FORCASTING SYSTEM - A crime forecasting system and method that stores crime data and weather data and determines a crime forecast by adjusting an historical crime rate based on a correlation between a forecasted weather condition and the crime data. The crime forecasting system and method may further store event data and determine the crime forecast by further adjusting the historical crime rate based on a correlation between a future event and the crime data. | 06-30-2016 |
| 20160189053 | Freezing a subject's contextualization of a proposition considered in a quantum representation by using a Quantum Zeno effect - The present invention concerns methods and apparatus for using a Quantum Zeno type effect to arrest the evolution or freeze a contextualization adopted by a subject in contextualizing an underlying proposition that typically revolves about an item. The subject is understood to be any sentient being, e.g., a human being that uses the known contextualization modulo the underlying proposition and also exhibits a known initial measurable indication in response to the underlying proposition. Measurable indications can take on the form of responses, actions, behaviors or any measurable aspects that can be collected from the subject in response to the underlying propositions. In the quantum representation as adopted herein, the matrix encoding the contextualization exhibited by the subject is a quantum mechanical operator and the initial measurable indication corresponds to one of its eigenvalues. | 06-30-2016 |
| 20160196500 | COMPUTER IMPLEMENTED FRAMEWORKS AND METHODOLOGIES FOR ENABLING RISK ANALYSIS FOR A SYSTEM COMPRISING PHYSICAL ASSETS | 07-07-2016 |
| 20160196501 | DIAGNOSING INCIDENTS FOR INFORMATION TECHNOLOGY SERVICE MANAGEMENT | 07-07-2016 |
| 20160203215 | ANSWERING USER QUESTIONS BASED ON USER EXPERTISE LEVEL | 07-14-2016 |
| 20160203402 | Simulation System And Method For Integrating Client Behavioral Preferences Within Decision-Based Simulation Scenarios | 07-14-2016 |
| 20160203409 | FRAMEWORK FOR CALCULATING GROUPED OPTIMIZATION ALGORITHMS WITHIN A DISTRIBUTED DATA STORE | 07-14-2016 |
| 20160379116 | SYSTEMS AND METHODS FOR BINARY TREE STORAGE - Systems, methods, and articles of manufacture provide for binary tree storage. Optimized or enhanced storage of binary trees may, for example, increase processing performance and reduce operational burdens on memory resources associated with execution of predictive models. | 12-29-2016 |
| 20160379118 | Decision Making Support Device and Decision Making Support Method - A decision making support device including: an opinion acquiring module that acquires an expressed opinion from each of a plurality of participants with respect to each of the plurality of selective elements; and a target person determining module that determines, with respect to a given selective element, from which participant an opinion on the selective element is to be elicited when there are a plurality of unexpressed participants who have not yet expressed opinions on the selective element, wherein the target person determining module respectively calculates, when assuming that each of the unexpressed participants has expressed any of expected opinions, assumed group satisfaction that is determined based on contents of decision making and contents of expression of opinions of the plurality of participants, and determines from which participant an opinion on the selective element is to be elicited in consideration of the assumed group satisfaction. | 12-29-2016 |
| 20160379119 | FEEDBACK AND CUSTOMIZATION IN EXPERT SYSTEMS FOR ANOMALY PREDICTION - Systems and methods may include receiving, by an expert system, performance data for a monitored system. The systems and methods may include generating a prediction for the monitored system in response to determining that the performance data satisfies a condition. The prediction may identify an anomaly that is predicted to occur. The systems and methods may include receiving, by a filter system, the prediction, information identifying the condition, and user information. The user information may include user preference information and user feedback information. The systems and methods may include determining a filter criteria based on the user information. The filter criteria may be based on the preferences for predictions to be provided to the user and on the historical user feedback regarding the historical predictions. The systems and methods may include providing the prediction to the user in response to determining that the particular prediction satisfies the filter criteria. | 12-29-2016 |
| 20160379120 | Knowledge Canvassing Using a Knowledge Graph and a Question and Answer System - Mechanisms are provided for processing a knowledge canvassing request. The mechanisms receive a request specifying an entity of interest from an originator of the request and analyze the request to extract a feature of the request. The mechanisms determine whether the request is a targeted natural language question to be answered or a knowledge canvassing request, based on the extracted feature. In response to determining that the request is a knowledge canvassing request, the mechanisms process the request by identifying entities represented in a knowledge graph data structure as being related to the entity of interest. The mechanisms output results of the processing of the request to the originator of the request. | 12-29-2016 |
| 20160379121 | CONTROL SYSTEM, METHOD AND DEVICE OF INTELLIGENT ROBOT BASED ON ARTIFICIAL INTELLIGENCE - The present disclosure provides a control system, a control method and a control device of an intelligent robot based on artificial intelligence. The system includes: a decision engine, disposed on the intelligent robot, and configured to generate cloud processing information according to a multimodal input signal, and to send the cloud processing information; and a cloud control center, configured to receive the cloud processing information, to obtain a user demand by analyzing the cloud processing information, and to return the user demand, such that the decision engine controls the intelligent robot according to at least one of the user demand and the multimodal input signal. The control system may make full use of great online information, enhance the capability of the intelligent robot for storage, calculation and processing complex decisions, and meanwhile may respond to the user's instruction timely, rapidly and intelligently, and improve the user experience. | 12-29-2016 |
| 20160379122 | RECOMMENDATION ALGORITHM OPTIMIZATION METHOD, DEVICE AND SYSTEM - Obtaining statistical effectiveness data of each recommendation algorithm; obtaining traffic distribution probability of each recommendation algorithm according to weight of the effectiveness data of each recommendation algorithm in recommendation algorithms; and distributing traffic request for each recommendation algorithm according to the traffic distribution probability. | 12-29-2016 |
| 20170236060 | System and Method for Automated Detection of Incorrect Data | 08-17-2017 |
| 20170236061 | PERFORMANCE COMPARISON | 08-17-2017 |
| 20180025274 | DYNAMIC THRESHOLD FILTERING FOR WATCHED QUESTIONS | 01-25-2018 |
| 20180025275 | APPARATUSES, METHODS AND SYSTEMS FOR A DIGITAL CONVERSATION MANAGEMENT PLATFORM | 01-25-2018 |
| 20180025288 | SYSTEM MODELING, CONTROL AND OPTIMIZATION | 01-25-2018 |
| 20190147347 | UNIFIED COGNITION FOR A VIRTUAL PERSONAL COGNITIVE ASSISTANT WHEN COGNITION IS EMBODIED ACROSS MULTIPLE EMBODIED COGNITION OBJECT INSTANCES | 05-16-2019 |
| 20190147348 | UNIFIED COGNITION FOR A VIRTUAL PERSONAL COGNITIVE ASSISTANT OF AN ENTITY WHEN CONSUMING MULTIPLE, DISTINCT DOMAINS AT DIFFERENT POINTS IN TIME | 05-16-2019 |
| 20220138592 | COMPUTER PREDICTION OF RELEVANT DATA FROM MULTIPLE DISPARATE SOURCES - A method including extracting data from disparate data sources. The data includes data pairs including a corresponding data point and a corresponding time associated with the corresponding data point. The method also includes extracting insights from the data at least by identifying a trend in the data pairs. The method also includes forming a model vector including the insights and an additional attribute to the insights. The additional attribute characterizes the insights. The additional attribute includes at least user feedback including a user ranking of a ranked subset of the insights from a user. The method also includes inputting the model vector into a trained insight machine learning model to obtain a predicted ranking of the insights. The method also includes selecting, based on the predicted user ranking, a pre-determined number of insights to form predicted relevant insights. The method also includes reporting the predicted relevant insights. | 05-05-2022 |
| 20220138604 | SOFTWARE COBOT ENGINEERING, EXECUTION, AND MONITORING - In some examples, software CoBot engineering, execution, and monitoring may include extracting a CoBot requirement from a requirement specification for a CoBot that is to be implemented. Based on application of a CoBot description language to the CoBot requirement, a CoBot workflow that specifies a plurality of tasks to be performed by the CoBot may be generated. A determination may be made as to whether a task is to be performed by a bot or by a human. A team that includes a plurality of bots and at least one human may be generated to execute the CoBot workflow. The bots of the team may be prioritized to identify a bot that is a best match to the CoBot requirement. The CoBot that includes configured bots may be deployed in an operational environment to perform the CoBot workflow. | 05-05-2022 |
