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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... |
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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. |
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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,... |
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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... |
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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,... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |
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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... |