Abstract: The disclosed invention involves a method and systems of autonomic virtual network, which relates to three basic inventions in the area of autonomic computing: (1) systems and methods of multi-loop autonomic manager, preemptive contact point, i.e. sensors and effectors, and software-defined hardware resource, or abstraction and virtualization of the hardware functions; (2) service-delivery virtual network in the area of distributed network, and application assurance systems and methods; and (3) integration of these two fields of inventions, namely autonomic managed virtual network, such that the management of virtual networks which provide service delivery, is able to achieve n-tier architecture system and method ACRA.

Abstract: 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.

Abstract: A system and method for matching an advertisement item to a multimedia content element. The method comprises: extracting at least one multimedia content element from a personalized multimedia content channel, the personalized multimedia content channel having at least one user, wherein multimedia content elements in the personalized multimedia content channel are customized for each user; generating at least one signature of the at least one multimedia content element; searching for at least one advertisement item respective of the at least one generated signature; and causing a display of the at least one advertisement item within a display area of a user node associated with a user of the personalized multimedia content channel.

Abstract: A system and computer program product that facilitates authoring of a Bayesian Belief Networks by: accessing text content stored in a content storage device; identifying statements within said accessed text content indicating a dependence relation; extracting said statements indicating said dependence relation from said text content; and aggregating said extracted statements into a form suitable for representation as a BBN network structure. To identify statements indicating a dependence relation, the system identifies one or more lexical and semantic attributes of variables within a text unit indicating a conditional dependence relation between two or more variables. The system further processes the text content to extract probabilistic information and probability statements and aggregate the probability statements into a quantitative layer of the BBN structure.

Abstract: An intelligent control system based on an explicit model of cognitive development (Table 1) performs high-level functions. It comprises up to O hierarchically stacked neural networks, Nm, . . . , Nm+(O?1), where m denotes the stage/order tasks performed in the first neural network, Nm, and O denotes the highest stage/order tasks performed in the highest-level neural network. The type of processing actions performed in a network, Nm, corresponds to the complexity for stage/order m. Thus N1 performs tasks at the level corresponding to stage/order 1. N5 processes information at the level corresponding to stage/order 5. Stacked neural networks begin and end at any stage/order, but information must be processed by each stage in ascending order sequence. Stages/orders cannot be skipped. Each neural network in a stack may use different architectures, interconnections, algorithms, and training methods, depending on the stage/order of the neural network and the type of intelligent control system implemented.

Abstract: A data analysis system includes a modeling unit, a feature-extraction unit, a processing unit and an output unit. The modeling unit creates a prediction model by a machine learning algorithm according to training data. The feature-extraction unit extracts a plurality of fragment of feature data of input data, and classifies the feature data into a plurality of groups. The processing unit obtains a probability of the input data corresponding to the prediction model by the machine learning algorithm according to the feature of one of the groups, and determines the probability. When the probability is less than a predetermined value, the processing unit uses another feature data corresponding to another group which is not used to renew the probability of the input data corresponding to the prediction model through the machine learning algorithm. When the probability is greater than or equal to the predetermined value, the processing unit classifies the input data. The output unit outputs a classification result.

Abstract: 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.

Abstract: 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.

Abstract: Apparatus and methods for learning and training in neural network-based devices. In one implementation, the devices each comprise multiple spiking neurons, configured to process sensory input. In one approach, alternate heterosynaptic plasticity mechanisms are used to enhance learning and field diversity within the devices. The selection of alternate plasticity rules is based on recent post-synaptic activity of neighboring neurons. Apparatus and methods for simplifying training of the devices are also disclosed, including a computer-based application. A data representation of the neural network may be imaged and transferred to another computational environment, effectively copying the brain. Techniques and architectures for achieve this training, storing, and distributing these data representations are also disclosed.

Abstract: Techniques for data pattern analysis using deterministic finite automaton are described herein. In one embodiment, a number of transitions from a current node to one or more subsequent nodes representing one or more sequences of data patterns is determined, where each of the current node and subsequent nodes is associated with a deterministic finite automaton (DFA) state. A data structure is dynamically allocated for each of the subsequent nodes for storing information associated with each of the subsequent nodes, where data structures for the subsequent nodes are allocated in an array maintained by a data structure corresponding to the current node if the number of transitions is greater than a predetermined threshold. Other methods and apparatuses are also described.

Abstract: A technique for the secure exchange and verification of data between multiple entities that use compatible business management systems utilizes serializable data transfer objects to transfer business data over a secure communication path. A conversion algorithm transforms a subset of the business data contained within the transfer objects, and the resulting data string is compared to data strings from other objects that are related to the transaction and which were transformed by the same conversion algorithm. If the data strings are not identical, a discrepancy exists. Serializable objects link all data objects relating to a given business transaction. An interface allows users to view and manage data contained in data objects, including discrepancies between compared objects.

Abstract: In accordance with the teachings described herein, systems and methods are provided for measuring a user's comprehension of subject matter of a text. A summary generated by the user is received, where the summary summarizes the text. The summary is processed to determine a first numerical measure indicative of a similarity between the summary and a reference summary. The summary is processed to determine a second numerical measure indicative of a degree to which a single sentence of the summary summarizes an entirety of the text. The summary is processed to determine a third numerical measure indicative of a degree of copying in the summary of multi-word sequences present in the text. A numerical model is applied to the first numerical measure, the second numerical measure and the third numerical measure to determine a score for the summary indicative of the user's comprehension of the subject matter of the text.

Abstract: To extract relationships between complex entities from unstructured data, a parser parses, using an existing language model, the unstructured data to generate a parse tree. From the parse tree, a set of tokens is created. A token in the set of tokens includes a set of words found in the unstructured data. The set of tokens is inserted in the existing language model to form an enhanced language model. The unstructured data is re-parsed using the enhanced language model to create a knowledge graph. From the knowledge graph, a relationship between a subset of the set of tokens is extracted.

Abstract: A system correlates intellectual property analyses, for example, patent claim charts, with respect to analyzed intellectual property and a target product or other intellectual property. Analyses are stored to enable searching and/or creating reports over multiple analyses. Units of the analysis are associated with a context, inherited, e.g., from the intellectual property document's assignment to a relative role within organizational hierarchy; and associated with a context derived from the analysis itself. The analysis and respective documents and/or targets of the analysis can be searched/retrieved/analyzed from the hierarchical analysis, the context analysis, and/or the content of the analysis. This obviates the need to store each analysis as a separate document. The target or annotations may be visually represented by an item such as a thumbnail or hyperlink, and the system automatically associates the item with the appropriate application program.

Abstract: This disclosure describes, among other things, an apparatus for generating an inference engine about a document. The apparatus includes at least one processor and a memory with instructions. The memory including instructions that, when executed by the at least one processor, cause the at least one processor to perform a number of processes. The processor accesses a set of documents. Each document has a corresponding inference. The processor also generates a vector representation for each document in the set of documents. First, the processor parses text of the document into groups of words, and generates a vector representation for each group.

Abstract: A system and method for detecting a target area of user interest within a multimedia content element are provided. The method includes receiving the multimedia content element from a user computing device; partitioning the multimedia content element into a number of partitions, each partition having at least one object therein; generating at least one signature for each partition of the multimedia content element, wherein each of the at least one signatures for each partition represents a concept; determining a context of the multimedia content element based on the concepts; and identifying at least one partition of the multimedia content as a target area of user interest based on the context of the multimedia content element.

Abstract: A method, apparatus, and system for a visual information builder for business rules are provided. By providing an additional interface layer over a general purpose business rule creation interface, role-based and context-sensitive interaction and presentation can be provided to abstract the complexity of the underlying service platform that supports the business rules. Templates are used to provide custom context-sensitive user interfaces and to hide complexity from the user by limiting the scope of the rule dictionary exposed to the user. The general rule building process is uniformly consistent across different contexts and operates similarly at the block and rule scale. Moreover, logical combinations are built using a consistent logical layout specifying logical operators and order of operations based on direction of expansion and relative positions.

Abstract: Disclosed herein is a method and apparatus for hardware-accelerating various data quality checking operations. Incoming data streams can be processed with respect to a plurality of data quality check operations using offload engines (e.g., reconfigurable logic such as field programmable gate arrays (FPGAs)). Accelerated data quality checking can be highly advantageous for use in connection with Extract, Transfer, and Load (ETL) systems.

Abstract: 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.

Abstract: The present disclosure relates generally to mechanisms for the estimation of location privacy risk, comprising: building one or more trajectory models from auxiliary information (e.g., one or more maps, one or more routes); capturing common behavioral patterns (e.g., shortest route(s),/fastest route(s)); identifying, given unlinked trajectories for a plurality of users, most likely linkages using the trajectory model(s); eliminating one or more unlikely linkages based on deviation from the shortest route(s) and/or the fastest route(s); measuring privacy as the percentage of linkages correctly identified; and outputting the measured privacy.