Geoffrey Hinton

Results: 92



#Item
31Science / Machine learning / Connectionism / Hopfield network / Perceptron / Self-organizing map / Feature / Pattern recognition / Hebbian theory / Neural networks / Computational neuroscience / Cybernetics

ARTIFICIALINTELLIGENCE 185 Connectionist Learning Procedures Geoffrey E. Hinton

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Source URL: www.cs.toronto.edu

Language: English - Date: 2009-01-08 11:44:02
32Neural networks / Science / Bayesian statistics / Boltzmann machine / Markov models / Probability theory / Hidden Markov model / Belief propagation / Information theory / Statistics / Graphical models / Mathematics

The Recurrent Temporal Restricted Boltzmann Machine Ilya Sutskever, Geoffrey Hinton, and Graham Taylor University of Toronto {ilya, hinton, gwtaylor}@cs.utoronto.ca

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Source URL: papers.nips.cc

Language: English - Date: 2014-02-24 05:08:16
33Calculus / Sine wave / Trigonometric functions / Wave / Filter / Sine / Trigonometry / Mathematics / Mathematical analysis

Supplementary Material: Learning generative texture models with extended FoEs Nicolas Heess and Christopher K.I. Williams School of Informatics, University of Edinburgh, Edinburgh, UK Geoffrey E. Hinton

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Source URL: homepages.inf.ed.ac.uk

Language: English - Date: 2010-12-11 08:27:04
34

Dark knowledge Geoffrey Hinton, Oriol Vinyals & Jeff Dean Google Inc. The conflicting constraints of learning and using

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Source URL: www.ttic.edu

Language: English - Date: 2014-10-06 12:22:08
    35

    Deep Belief Networks for phone recognition Abdel-rahman Mohamed, George Dahl, and Geoffrey Hinton Department of Computer Science University of Toronto {asamir,gdahl,hinton}@cs.toronto.edu

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    Source URL: www.cs.toronto.edu

    Language: English - Date: 2009-11-25 20:25:23
      36

      Supplementary Materials for Tensor Analyzers Yichuan Tang Ruslan Salakhudinov Geoffrey Hinton Department of Computer Science

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      Source URL: www.cs.toronto.edu

      Language: English - Date: 2013-05-07 11:38:42
        37

        Inferring Motor Programs from Images of Handwritten Digits Geoffrey Hinton and Vinod Nair Department of Computer Science, University of Toronto 10 King’s College Road, Toronto, M5S 3G5 Canada

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        Source URL: www.cs.toronto.edu

        Language: English - Date: 2006-02-24 13:05:17
          38

          A fast learning algorithm for deep belief nets ∗ Geoffrey E. Hinton and Simon Osindero Yee-Whye Teh Department of Computer Science University of Toronto

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          Source URL: www.cs.toronto.edu

          Language: English - Date: 2008-10-31 15:01:14
            39

            (Charlie) Yichuan Tang Ruslan Salakhutdinov Geoffrey Hinton Deep Mixtures of Factor Analysers

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            Source URL: www.cs.toronto.edu

            Language: English - Date: 2012-06-14 11:43:35
              40

              Implicit Mixtures of Restricted Boltzmann Machines Vinod Nair and Geoffrey Hinton Department of Computer Science, University of Toronto 10 King’s College Road, Toronto, M5S 3G5 Canada {vnair,hinton}@cs.toronto.edu

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              Source URL: www.cs.toronto.edu

              Language: English - Date: 2009-01-11 17:48:16
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