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Training Products of Experts by Minimizing Contrastive Divergence

Neural computation, 2002-08, Vol.14 (8), p.1771-1800

Hinton, Geoffrey E.

2002

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Deep, Narrow Sigmoid Belief Networks Are Universal Approximators

Neural computation, 2008-11, Vol.20 (11), p.2629-2636

2008

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Variational Learning for Switching State-Space Models

Neural computation, 2000-04, Vol.12 (4), p.831-864

2000

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Energy-Based Models for Sparse Overcomplete Representations

Journal of machine learning research, 2004-10, Vol.4 (7-8), p.1235-1260

2004

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SMEM Algorithm for Mixture Models

Neural computation, 2000-09, Vol.12 (9), p.2109-2128

2000

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The Helmholtz machine

Neural computation, 1995-09, Vol.7 (5), p.889-904

1995

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A New Learning Algorithm for Mean Field Boltzmann Machines

Artificial Neural Networks — ICANN 2002, 2002, p.351-357

2002

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The "Wake-Sleep" Algorithm for Unsupervised Neural Networks

Science (American Association for the Advancement of Science), 1995-05, Vol.268 (5214), p.1158-1161

1995

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Using Expectation-Maximization for Reinforcement Learning

Neural computation, 1997-02, Vol.9 (2), p.271-278

1997

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Learning distributed representations of concepts using linear relational embedding

IEEE transactions on knowledge and data engineering, 2001-03, Vol.13 (2), p.232-244

2001

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Generative models for discovering sparse distributed representations

Philosophical transactions of the Royal Society of London. Series B. Biological sciences, 1997-08, Vol.352 (1358), p.1177-1190

1997

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Recognizing handwritten digits using hierarchical products of experts

IEEE transactions on pattern analysis and machine intelligence, 2002-02, Vol.24 (2), p.189-197

2002

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Self-organizing neural network that discovers surfaces in random-dot stereograms

Nature (London), 1992-01, Vol.355 (6356), p.161-163

1992

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Connectionist learning procedures

Artificial intelligence, 1989, Vol.40 (1), p.185-234

Hinton, Geoffrey E.

1989

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Lesioning an Attractor Network: Investigations of Acquired Dyslexia

Psychological review, 1991-01, Vol.98 (1), p.74-95

1991

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Simplifying Neural Networks by Soft Weight-Sharing

Neural computation, 1992-07, Vol.4 (4), p.473-493

1992

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Using generative models for handwritten digit recognition

IEEE transactions on pattern analysis and machine intelligence, 1996-06, Vol.18 (6), p.592-606

1996

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A Comparison of Classification Methods for Longitudinal fMRI Studies

NeuroImage (Orlando, Fla.), 2009-07, Vol.47, p.S57-S57

2009

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Learning representations by back-propagating errors

Nature (London), 1986-10, Vol.323 (6088), p.533-536

1986

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Varieties of Helmholtz Machine

Neural networks, 1996-11, Vol.9 (8), p.1385-1403

1996

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Mapping part-whole hierarchies into connectionist networks

Artificial intelligence, 1990, Vol.46 (1), p.47-75

Hinton, Geoffrey E.

1990

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Probabilistic sequential independent components analysis

IEEE transaction on neural networks and learning systems, 2004-07, Vol.15 (4), p.838-849

2004

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Distinguishing text from graphics in on-line handwritten ink

Ninth International Workshop on Frontiers in Handwriting Recognition, 2004, p.142-147

2004

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Variational Learning in Nonlinear Gaussian Belief Networks

Neural computation, 1999-01, Vol.11 (1), p.193-213

1999

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A time-delay neural network architecture for isolated word recognition

Neural networks, 1990, Vol.3 (1), p.23-43

1990

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Training Products of Experts by Minimizing Contrastive Divergence

Deep, Narrow Sigmoid Belief Networks Are Universal Approximators

Variational Learning for Switching State-Space Models

Energy-Based Models for Sparse Overcomplete Representations

SMEM Algorithm for Mixture Models

The Helmholtz machine

A New Learning Algorithm for Mean Field Boltzmann Machines

The "Wake-Sleep" Algorithm for Unsupervised Neural Networks

Using Expectation-Maximization for Reinforcement Learning

Learning distributed representations of concepts using linear relational embedding

Generative models for discovering sparse distributed representations

Recognizing handwritten digits using hierarchical products of experts

Self-organizing neural network that discovers surfaces in random-dot stereograms

Connectionist learning procedures

Lesioning an Attractor Network: Investigations of Acquired Dyslexia

Simplifying Neural Networks by Soft Weight-Sharing

Using generative models for handwritten digit recognition

A Comparison of Classification Methods for Longitudinal fMRI Studies

Learning representations by back-propagating errors

Varieties of Helmholtz Machine

Mapping part-whole hierarchies into connectionist networks

Probabilistic sequential independent components analysis

Distinguishing text from graphics in on-line handwritten ink

Variational Learning in Nonlinear Gaussian Belief Networks

A time-delay neural network architecture for isolated word recognition

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