| Class / Patent application number | Description | Number of patent applications / Date published |
|---|
| 706018000 | Association | 20 |
| 20080243736 | CLUB DICTIONARIES - A mobile communication apparatus including means for enabling the mobile communication apparatus for character input, comparing inputted characters with words in a list, prioritizing and listing matches of the comparison in a priority list depending on current context. Further, displaying the priority list, enabling selection from the displayed priority list and enabling updating of the list depending on current context. A corresponding application, apparatus, system, user interface and computer program is also disclosed. | 10-02-2008 |
| 20080243737 | CLUB DICTIONARIES - A mobile communication apparatus including means for enabling the mobile communication apparatus for character input, comparing inputted characters with words in a list, prioritizing and listing matches of the comparison in a priority list depending on current context. Further, displaying the priority list, enabling selection from the displayed priority list and enabling updating of the list depending on current context. A corresponding application, apparatus, system, user interface and computer program is also disclosed. | 10-02-2008 |
| 20080243738 | GAME DICTIONARIES - A mobile communication apparatus including means for enabling the mobile communication apparatus for character input, comparing inputted characters with words in a list, prioritizing and listing matches of the comparison in a priority list depending on current context. Further, displaying the priority list, enabling selection from the displayed priority list and enabling updating of the list depending on current context. A corresponding application, apparatus, system, and computer program is also disclosed. | 10-02-2008 |
| 20090132449 | NEURAL NETWORK LEARNING DEVICE, METHOD, AND PROGRAM - It is possible to acquire existing techniques in a neural network model currently studied and developed so as to generalize them as an element technique, and provide modeling of a basic unit of bottom-up approach using the neural network by adding new values to the existing techniques. A network learning device builds up a network of basic units in a network section, acquires an input from a sensor input section for evaluating it, changes a coupling weight coefficient by using a correlation operation so that the evaluation value satisfies a predetermined evaluation value, and inserts a new neural network according to need. | 05-21-2009 |
| 20090281975 | RECOMMENDING SIMILAR CONTENT IDENTIFIED WITH A NEURAL NETWORK - Methods, systems and computer-readable media for finding similarities between visual objects by evaluating user interactions with a collection of visual objects are provided. Using a neural network, human interactions with a collection of visual objects are evaluated to ascertain relationships or connections between visual objects. The relationship between visual objects indicates that the visual objects are similar. Once relationships between visual objects are identified, a user may select one or more visual objects and receive suggested visual objects that are similar to the one or more visual objects selected by the user. | 11-12-2009 |
| 20100088262 | EMULATED BRAIN - An emulated intelligence system includes an input for receiving information in the form of a query and a parsing system for parsing the query into grammatical elements. A database of individual concepts is included, each concept defining relationships between the concept and other concepts in the database. A conceptualizing system defines a list of related concepts associated with each of the parsed elements of the query and the embodied relationships associated therewith and a volition system then determines if additional concepts are associated with an action that may be associated with pre-stored criteria. An action system is then provided for defining an action to be taken based upon the relationships defined by the conceptualizing system. | 04-08-2010 |
| 20100312731 | NEURAL ASSOCIATIVE MEMORIES BASED ON OPTIMAL BAYESIAN LEARNING - This invention is in the field of machine learning and neural associative memory. In particular the invention discloses a neural associative memory structure for storing and maintaining associations between memory address patterns and memory content patterns using a neural network, as well as methods for storing and retrieving such associations. Bayesian learning is applied to achieve non-linear learning. | 12-09-2010 |
| 20110047110 | OVERCODING-AND-PARING: A BUFFERLESS CHUNKING PROCESS AND USES THEREOF - The invention provides a computer-implemented chunking process (named “OP”) to assign and physically associate unique spatial representations (“chunk codes”) in one representational (coding) space (“chunk coding space”) with unique temporal sequences of spatial codes (“items”) in another coding space (“item coding space”). OP differs from all prior chunking processes in that, for any particular item sequence, it activates a unique chunk code for that sequence during presentation of that sequence's first item, even if other sequences from the input domain may begin with the same item. | 02-24-2011 |
| 20110055130 | STRING MATCHING METHOD - A string matching device extracts a string by shifting a start position from an input data stream, compares the extracted string with a sub-string included in a target string, and when a prefix of a target string is detected from the string extracted from the input data stream, it selects one of the strings output in the next stage based on the start position of the corresponding string and uses it to detect the sub-string. Also, the device can consecutively detect at least one target string from the input data stream by using a state transition process. | 03-03-2011 |
| 20110082822 | System and method for stimulating conciousness - A simulated consciousness method ( | 04-07-2011 |
| 20110251984 | WEB-SCALE ENTITY RELATIONSHIP EXTRACTION - Methods and systems for Web-scale entity relationship extraction are usable to build large-scale entity relationship graphs from any data corpora stored on a computer-readable medium or accessible through a network. Such entity relationship graphs may be used to navigate previously undiscoverable relationships among entities within data corpora. Additionally, the entity relationship extraction may be configured to utilize discriminative models to jointly model correlated data found within the selected corpora. | 10-13-2011 |
| 20120143803 | BOTTOM SEDIMENT DETERMINATION DEVICE, ULTRASONIC FINDER, AND METHOD AND PROGRAM FOR SETTING PARAMETERS - This disclosure provide a bottom sediment determining device, which is inputted with an echo signal corresponding to an ultrasonic wave outputted underwater, and determines water bottom sediment using a neural network. The device includes a memory for storing two or more parameters to be used in the neural network so as to be associated with positional information, a receiver for receiving the positional information, an acquisition module for acquiring the parameters corresponding to the positional information, and a setting module for setting the parameters to the neural network. | 06-07-2012 |
| 20130006903 | SYSTEM AND METHOD FOR PREDICTIVE ANALYTICS IN AN ELECTRICAL GRID NETWORK - Systems and methods for performing predictive analytics in an electrical grid network are disclosed. In one example of the disclosed technology, a method comprises aggregating a plurality of events from an electrical grid network, analyzing the plurality of events to recognize at least one event pattern, serializing at least one of the event patterns in a database, and predicting a future event pattern based on a correlation of the plurality of event patterns. | 01-03-2013 |
| 20130046716 | METHOD AND APPARATUS FOR NEURAL TEMPORAL CODING, LEARNING AND RECOGNITION - Certain aspects of the present disclosure support a technique for neural temporal coding, learning and recognition. A method of neural coding of large or long spatial-temporal patterns is also proposed. Further, generalized neural coding and learning with temporal and rate coding is disclosed in the present disclosure. | 02-21-2013 |
| 20130246322 | Methods, Apparatus and Products for Semantic Processing of Text - A computer-implemented method of training a neural network includes training a first neural network of a self organizing map type with a first set of first text documents each containing one or more keywords in a semantic context to map each document to a point in the self organizing map y semantic clustering; determining, for each keyword in the first set, all points in the self organizing map to which first documents containing said keyword are mapped, as a pattern and storing said pattern for said keyword in a pattern dictionary; forming at least one sequence of keywords from a second set of second text documents each containing one or more keywords in a semantic context; translating said at least one sequence of keywords into at least one sequence of patterns using the pattern dictionary; and training a second neural network with the at least one sequence of patterns. | 09-19-2013 |
| 20130325769 | PROVIDING RECOMMENDATIONS USING INFORMATION DETERMINED FOR DOMAINS OF INTEREST - Techniques are described for determining and using information related to domains of interest, such as by automatically analyzing documents and other information related to a domain in order to automatically determine relationships between particular terms within the domain. Such automatically determined information may then be used to assist users in obtaining information from the domain that is of interest (e.g., documents with contents that are relevant to user-specified terms and/or to other terms that are determined to be sufficiently related to the user-specified terms). For example, recommendations may be automatically generated for a user by using information about specified preferences or other interests of the user with respect to one or more terms and identifying other particular terms that are sufficiently probable to be of interest to that user, such as based on a generated probabilistic representation of relationships between particular terms for the domain. | 12-05-2013 |
| 20140236876 | ASSOCIATING A MEETING ROOM WITH A MEETING - Arrangements described relate to associating a meeting room with a meeting. A meeting invitation being accessed by a first recipient can be identified, wherein the meeting invitation is sent to a plurality of recipients. A location associated with the first recipient of the meeting invitation can be identified, and whether the location associated with the first recipient is similar to a location associated with a sender of the meeting invitation can be determined. Responsive to determining that the location associated with the first recipient is not similar to the location associated with a sender of the meeting invitation, the first recipient can be prompted to reserve a meeting room at the location associated with the first recipient. Responsive to receiving from the first recipient an indication of the meeting room being reserved, an association between the meeting and the meeting room can be created. | 08-21-2014 |
| 20140236877 | SYSTEM AND METHOD OF SELECTING ADVERTISING CONTENT - A method includes receiving data for an object at a computing device. The method includes sending a representation of the object from the computing device to a display device coupled to the computing device. The object includes a first display element in a featured position and a second display element. The method includes selecting advertising content with a processor of the computing device based on first information retrieved from the data that is associated with the first display element, based on second information retrieved from the data that is associated with the second display element, and based on a first location in the representation of the first display element relative to a second location in the representation of the second display element. The method also includes sending the advertising content from the computing device to the display device for display in an advertising window. | 08-21-2014 |
| 20140324747 | ARTIFICIAL CONTINUOUSLY RECOMBINANT NEURAL FIBER NETWORK - Embodiments of a system and method for an artificial cognitive neural framework are generally described herein. In some embodiments, the artificial cognitive neural framework includes a memory system for storing acquired knowledge and for broadcasting the acquired knowledge, cognitive system, including cognitive perceptrons arranged to develop hypotheses and produce information, and genetic learning algorithms and a mediator, coupled to the cognitive system, the mediator arranged to gather the developed hypotheses and the produced information, to integrate the developed hypotheses and produced information using fuzzy, self-organizing contextual topic maps and to establish proper mappings between inputs, internal states and outputs of a continuously recombinant neural fiber network, wherein the genetic learning algorithms are arranged to continuously evolve candidate solutions by adjusting interconnections in the continuously recombinant neural fiber network by correlating patterns within the candidate solutions to stochasto-chaotic constraints, and to update the memory system. | 10-30-2014 |
| 20150363001 | Techniques For Using Gesture Recognition To Effectuate Character Selection - This disclosure provides a pose- or gesture-based recognition system that processes images of the human hand, downconverts degrees of freedom of the human hand to lower-dimensional space, and then maps the downconverted space to a character set. In one embodiment, the system is implemented in a smart phone or as a computer-input device that uses a virtual keyboard. As the user moves his or her hand, the smart phone or computer provides simulated vocal feedback, permitting the user to adjust hand position or motion to arrive at any desired character; this is particularly useful for embodiments which use a phonetic character set. Software that performs character selection can be implemented in a manner that is language/region agnostic, with a contextual dictionary being used to interpret a phonetic character set according to a specific language or region. | 12-17-2015 |
