Patent application number | Description | Published |
20080306944 | METHODS, SYSTEMS AND COMPUTER PROGRAM PRODUCTS FOR ANALOGY DETECTION AMONG ENTITIES USING RECIPROCAL SIMILARITY MEASURES - Analogies among entities may be detected by obtaining associative counts among the entities and computing similarity measures among given entities and other entities, using the associative counts. First and second entities are then identified as being analogies if the first entity has a strongest similarity measure with respect to the second entity and the second entity also has a strongest similarity measure with respect to the first entity. The similarity measures may be calculated using a normalized entropy inverted among a given entity and other entities. | 12-11-2008 |
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 |
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 |
20090198692 | Methods, Systems and Computer Program Products for Analogy Detection Among Entities Using Reciprocal Similarity Measures - Analogies among entities may be detected by obtaining associative counts among the entities and computing similarity measures among given entities and other entities, using the associative counts. First and second entities are then identified as being analogies if the first entity has a strongest similarity measure with respect to the second entity and the second entity also has a strongest similarity measure with respect to the first entity. The similarity measures may be calculated using a normalized entropy inverted among a given entity and other entities. | 08-06-2009 |
20100023683 | Associative Matrix Observing Methods, Systems and Computer Program Products Using Bit Plane Representations of Selected Segments - Associative matrix compression methods, systems, computer program products and data structures compress an association matrix that contains counts that indicate associations among pairs of attributes. Selective bit plane representations of those selected segments of the association matrix that have at least one count is performed, to allow compression. More specifically, a set of segments is generated, a respective one of which defines a subset, greater than one, of the pairs of attributes. Selective identifications of those segments that have at least one count are stored. The at least one count that is associated with a respective identified segment is also stored as at least one bit plane representation. The at least one bit plane representation identifies a value of the at least one associated count for a bit position of the count that corresponds to the associated bit plane. | 01-28-2010 |
20150120706 | METHODS, SYSTEMS AND COMPUTER PROGRAM PRODUCTS FOR USING A DISTRIBUTED ASSOCIATIVE MEMORY BASE TO DETERMINE DATA CORRELATIONS AND CONVERGENCE THEREIN - Provided are methods, systems, and computer program products that generate a plurality of query queues that correspond to a plurality of row-based identifiers corresponding to a plurality of physical memory locations in at least one of a plurality of associative memory networks in response to a semantic-space based query that includes at least one query search element, determine count information responsive to the plurality of query queues and compute information distances between the at least one query search element and ones of associative memory query result elements to determine closeness values corresponding to the information distances. | 04-30-2015 |
20150142807 | METHODS, SYSTEMS AND COMPUTER PROGRAM PRODUCTS FOR USING A DISTRIBUTED ASSOCIATIVE MEMORY BASE TO DETERMINE DATA CORRELATIONS AND CONVERGENCE THEREIN - Associative memory systems, methods and computer program products are provided. An associative memory system includes a distributed associative memory base including a network of networks of associative memory networks. A respective associative memory network includes associations among a respective observer memories and a plurality of observed memories that are observed by the respective observer memory. Ones of the associative memory networks are physically and/or logically independent from other ones of the associative memory networks. A processing system is configured to observe associations into and imagine associations from, the distributed associative memory base using multiple streaming queues that correspond to respective ones of multiple rows in the associative memory networks. The processing system is further configured to determine a cognitive distance between a term and a class of terms, the cognitive distance being returned responsive to a query of the distributed associative memory base. | 05-21-2015 |