Parallel Distributed Processing

Citation edge evidence

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• Support-vector networks→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Learning representations by back-propagating errors→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Approximation by superpositions of a sigmoidal function→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Ant system: optimization by a colony of cooperating agents→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• The Graph Neural Network Model→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Learning long-term dependencies with gradient descent is difficult→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• An introduction to computing with neural nets→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Simple statistical gradient-following algorithms for connectionist reinforcement learning→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Artificial neural networks: a tutorial→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Backpropagation through time: what it does and how to do it→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• A general regression neural network→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Neural network ensembles→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• A direct adaptive method for faster backpropagation learning: the RPROP algorithm→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Evolving artificial neural networks→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Phoneme recognition using time-delay neural networks→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• On the momentum term in gradient descent learning algorithms→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog…→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Stochastic Gradient Descent Tricks→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• How to Grow a Mind: Statistics, Structure, and Abstraction→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Attribute-Based Classification for Zero-Shot Visual Object Categorization→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• An introduction to simulated evolutionary optimization→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Temporal difference learning and TD-Gammon→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Forward Models: Supervised Learning with a Distal Teacher→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Distributed representations, simple recurrent networks, and grammatical structure→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Auto-association by multilayer perceptrons and singular value decomposition→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• A review of clustering techniques and developments→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Artificial neural networks: a tutorial→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Auto-association by multilayer perceptrons and singular value decomposition→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Approximation by superpositions of a sigmoidal function→An introduction to computing with neural netsLegacy edge — source detail unavailable
• The Graph Neural Network Model→A direct adaptive method for faster backpropagation learning: the RPROP algorithmLegacy edge — source detail unavailable
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→An introduction to computing with neural netsLegacy edge — source detail unavailable
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→Approximation by superpositions of a sigmoidal functionLegacy edge — source detail unavailable
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→Phoneme recognition using time-delay neural networksLegacy edge — source detail unavailable
• Phoneme recognition using time-delay neural networks→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
• Phoneme recognition using time-delay neural networks→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Simple statistical gradient-following algorithms for connectionist reinforcement learning→Forward Models: Supervised Learning with a Distal TeacherLegacy edge — source detail unavailable
• Evolving artificial neural networks→An introduction to simulated evolutionary optimizationLegacy edge — source detail unavailable
• Neural network ensembles→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Support-vector networks→Learning representations by back-propagating errorsLegacy edge — source detail unavailable