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9031886 Pluggable modules in a cascading learning system  
A cascading learning system for semantic search is described including the generation, training and testing of a domain-specific module for a domain-specific search. One or more input elements and...
9015091 Methods and apparatus for unsupervised neural replay, learning refinement, association and memory transfer: structural plasticity and structural constraint modeling  
Certain aspects of the present disclosure support techniques for unsupervised neural replay, learning refinement, association and memory transfer.
9015092 Dynamically reconfigurable stochastic learning apparatus and methods  
Generalized learning rules may be implemented. A framework may be used to enable adaptive signal processing system to flexibly combine different learning rules (supervised, unsupervised,...
9009091 Data classification tool using dynamic attribute weights and intervals of variation about static weights determined by conditional entropy of attribute descriptors  
An analysis tool for causing a computer to use information gain of attributes and a classification algorithm to classify new records in a set of data by taking into account the predictive value of...
9002765 Stable parallel loop systems  
Stable Parallel Loop (SPL) systems and exemplary embodiments are described with reference to both software and hardware platforms. A SPL network includes an input surface, internal nodes,...
8990133 Apparatus and methods for state-dependent learning in spiking neuron networks  
State-dependent supervised learning framework in artificial neuron networks may be implemented. A framework may be used to describe plasticity updates of neuron connections based on a connection...
8972316 Extensible adaptive classification framework  
An extensible adaptive classification framework and method can include multiple feature detection modules, and a platform for integrating the multiple feature detection modules utilizing a...
8965821 Learning method of neural network circuit  
A neuron circuit in a neural network circuit element includes a waveform generating circuit for generating a predetermined pulse voltage, and a first input signal has a waveform of the...
8943008 Apparatus and methods for reinforcement learning in artificial neural networks  
Neural network apparatus and methods for implementing reinforcement learning. In one implementation, the neural network is a spiking neural network, and the apparatus and methods may be used for...
8930292 Learning and auditory scene analysis in gradient frequency nonlinear oscillator networks  
A method for learning connections between nonlinear oscillators in a neural network comprising the steps of providing a plurality of nonlinear oscillators, with each respective oscillator...
8918353 Methods and systems for feature extraction  
A method and system for extracting feature utilizing an AHaH module (Anti-Hebbian and Hebbian). A sparse input data stream can be presented to a synaptic matrix of a collection of AHaH nodes...
8918352 Learning processes for single hidden layer neural networks with linear output units  
Learning processes for a single hidden layer neural network, including linear input units, nonlinear hidden units, and linear output units, calculate the lower-layer network parameter gradients by...
8914134 Systems and methods for predicting transient operational characteristics of a power plant  
Certain embodiments of the invention may include systems and methods for predicting transient operational characteristics of a power plant. According to an example embodiment of the invention, a...
8909575 Method and apparatus for modeling neural resource based synaptic placticity  
Certain aspects of the present disclosure support a method of designing the resource model in hardware (or software) for learning spiking neural networks. The present disclosure comprises...
8910284 Detecting malware  
Disclosed are various embodiments for determining a source of malware. At least one embodiment of a method includes receiving browsing data from a plurality of client devices, the data being sent...
8892485 Methods and systems for neural processor training by encouragement of correct output  
Certain embodiments of the present disclosure support implementation of a neural processor with synaptic weights, wherein training of the synapse weights is based on encouraging a specific output...
8892486 Processor node, artificial neural network and method operation of an artificial neural network  
There is provided a temporal processor node for use as an input node in the input layer of a class network in an artificial neural network, the class network being operable to generate an output...
8892478 Adaptive model training system and method  
An adaptive model training system and method for filtering asset operating data values acquired from a monitored asset for selectively choosing asset operating data values that meet at least one...
8886586 Method for making optimal selections based on multiple objective and subjective criteria  
A method for making optimal decisions includes the ability to consider and weigh multiple factors, where those factors might be numeric, or non-numeric, objective or subjective. Further, the...
8886580 Classification of digital content using aggregate scoring by a grid load balancer configured to assign content to different content analysis engines based on content identifications of a semantics processor  
Aggregate scoring is used to help classify digital content such as content uploaded to multi-user websites (e.g., social networking websites). In one embodiment, specific categories are used that...
8874461 Event synchronized reporting in process control systems  
Methods, systems, and computer-executable instructions for event synchronized reporting in an process control system are disclosed. Events may be synchronized by a synchronization parameter, whose...
8874498 Unsupervised, supervised, and reinforced learning via spiking computation  
The present invention relates to unsupervised, supervised and reinforced learning via spiking computation. The neural network comprises a plurality of neural modules. Each neural module comprises...
8862527 Neural networks and method for training neural networks  
Methods (30) for training an artificial neural network (NN) are disclosed. An example method (30) includes: initializing the NN by selecting an output of the NN to be trained and connecting an...
8849735 Solving the distal reward problem through linkage of STDP and dopamine signaling  
In Pavlovian and instrumental conditioning, rewards typically come seconds after reward-triggering actions, creating an explanatory conundrum known as the distal reward problem or the credit...
8843425 Hierarchical routing for two-way information flow and structural plasticity in neural networks  
Hierarchical routing for two-way information flow and structural plasticity in a neural network is provided. In one embodiment the network includes multiple core modules, wherein each core module...
8838505 Schedule management system using interactive robot and method and computer-readable medium thereof  
An interactive robot may audibly communicate with a user, determine whether reasoning is performed according to a reasoning weight of a schedule if there is a schedule to be recommended by the...
8838513 Adaptive analytical behavioral and health assistant system and related method of use  
This present disclosure relates to systems and methods for providing an Adaptive Analytical Behavioral and Health Assistant. These systems and methods may include collecting one or more of patient...
8832009 Electronic charge sharing CMOS-memristor neural circuit  
CMOS-memristor circuit is constructed to behave as a trainable artificial synapse for neuromorphic hardware systems. The invention relies on the memristance of a memristor at the input side of the...
8805757 Evaluation predicting device, evaluation predicting method, and program  
Disclosed herein is an evaluation predicting device including: an estimating section configured to define a plurality of first latent vectors, a plurality of second latent vectors, evaluation...
8793205 Robotic learning and evolution apparatus  
Apparatus and methods for implementing robotic learning and evolution. An ecosystem of robots may comprise robotic devices of one or more types utilizing artificial neuron networks for...
8788436 Utilization of features extracted from structured documents to improve search relevance  
Features automatically extracted from semi-structured web pages are utilized by a search engine to rank documents that include semi-structured web pages. These features include, but are not...
8788442 Compliance model training to classify landing page content that violates content item distribution guidelines  
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for analyzing content item compliance with specified guidelines. In one aspect, a method includes...
8788444 Data analysis method and system  
The present invention relates to the analysis of data to identify relationships between the input data and one or more conditions. One method of analyzing such data is by the use of neural...
8768921 Computer-implemented information reuse  
Embodiments of the present invention relate to an approach for reusing information/knowledge. Specifically, embodiments of the present invention provide an approach for retrieving previously...
8766793 Contextually-appropriate task reminders  
A computing device learns over time how to identify task reminders that are most likely to be helpful to a user in different contexts. The task reminders can remind the user of activities that the...
8755958 Underwater vehicles with improved efficiency over a range of velocities  
An underwater vehicle uses an undulatory fin propulsion system and a control apparatus to receive sensor data and control the operation of the vehicle in real time over a wide range of forward...
8756047 Method of artificial nueral network loadflow computation for electrical power system  
ANN Loadflow Computation Method (LCM) is invented involving input vector composed of net nodal injected real power (P), reactive power (Q), and diagonal elements of conductance and susceptance...
8756184 Predicting users' attributes based on users' behaviors  
A method, apparatus, system, article of manufacture, and computer readable storage medium provide the ability to predict and utilize a user's attributes. A sample user behavior and a sample user...
8744607 Method and apparatus for self-learning and self-improving a semiconductor manufacturing tool  
Performance of a manufacturing tool is optimized. Optimization relies on recipe drifting and generation of knowledge that capture relationships among product output metrics and input material...
8738555 Data processing device, data processing method, and program  
A data processing device includes a state value calculation unit which calculates a state value of which the value increases as much as a state with a high transition probability for each state of...
8738554 Event-driven universal neural network circuit  
The present invention provides an event-driven universal neural network circuit. The circuit comprises a plurality of neural modules. Each neural module comprises multiple digital neurons such...
8714981 Automatic trace analysis and comparison system for interactive learning and training systems  
A learning and training process that memorizes traces of a learner solving an exercise, attaches meta labels to the learner traces, and compares the learner traces to reference traces of a...
8712941 Elementary network description for efficient link between neuronal models and neuromorphic systems  
A simple format is disclosed and referred to as Elementary Network Description (END). The format can fully describe a large-scale neuronal model and embodiments of software or hardware engines to...
8712939 Tag-based apparatus and methods for neural networks  
Apparatus and methods for high-level neuromorphic network description (HLND) using tags. The framework may be used to define nodes types, define node-to-node connection types, instantiate node...
8700541 Modeling method of neuro-fuzzy system  
A modeling method of neuro-fuzzy system including a rule-defining process and a network-building process is disclosed. The rule-defining process divides a plurality of training data into a...
8700552 Exploiting sparseness in training deep neural networks  
Deep Neural Network (DNN) training technique embodiments are presented that train a DNN while exploiting the sparseness of non-zero hidden layer interconnection weight values. Generally, a fully...
8694442 Contextually integrated learning layer  
A computer-implemented transforming function contextually transforms multiple originating computer-implemented structures into a composite fuzzy network-based structure. The composite fuzzy...
8694450 Machine data web  
Methods and apparatus consistent with the invention provide the ability to organize and build understandings of machine data generated by a variety of information-processing environments. Machine...
8694451 Neural network system  
A neural network system that can minimize circuit resources for constituting a self-learning mechanism and be reconfigured into network configurations suitable for various purposes includes a...
8682822 Electronic learning synapse with spike-timing dependent plasticity using memory-switching elements  
A system, method and computer program product produce spike-dependent plasticity in an artificial synapse. A method includes: an electronic device generating a pre-synaptic pulse that occurs a...