Boltzmann machine

Results: 164



#Item
41Modeling Documents with a Deep Boltzmann Machine  Nitish Srivastava Ruslan Salakhutdinov Geoffrey Hinton

Modeling Documents with a Deep Boltzmann Machine Nitish Srivastava Ruslan Salakhutdinov Geoffrey Hinton

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Source URL: www.cs.toronto.edu

Language: English - Date: 2013-07-12 15:03:08
    42Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images Marc’Aurelio Ranzato Alex Krizhevsky Geoffrey E. Hinton

    Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images Marc’Aurelio Ranzato Alex Krizhevsky Geoffrey E. Hinton

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    Source URL: www.cs.toronto.edu

    Language: English - Date: 2010-06-05 20:44:53
    43Vocal Tract Length Perturbation (VTLP) improves speech recognition Navdeep Jaitly  University of Toronto, 10 King’s College Rd., Toronto, ON M5S 3G4 CANADA

    Vocal Tract Length Perturbation (VTLP) improves speech recognition Navdeep Jaitly University of Toronto, 10 King’s College Rd., Toronto, ON M5S 3G4 CANADA

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    Source URL: www.cs.toronto.edu

    Language: English - Date: 2013-08-04 22:11:53
    44Deep Generative Stochastic Networks Trainable by Backprop  Yoshua Bengio∗ FIND . US @ ON . THE . WEB ´ Eric

    Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio∗ FIND . US @ ON . THE . WEB ´ Eric

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    Source URL: yosinski.com

    Language: English - Date: 2014-09-17 14:43:15
    45SUBMITTED TO IEEE TRANS. ON AUDIO, SPEECH, AND LANGUAGE PROCESSING  1 Acoustic Modeling using Deep Belief Networks Abdel-rahman Mohamed, George E. Dahl, and Geoffrey Hinton

    SUBMITTED TO IEEE TRANS. ON AUDIO, SPEECH, AND LANGUAGE PROCESSING 1 Acoustic Modeling using Deep Belief Networks Abdel-rahman Mohamed, George E. Dahl, and Geoffrey Hinton

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    Source URL: www.cs.toronto.edu

    Language: English - Date: 2011-03-01 16:37:24
    46Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine George E. Dahl, Marc’Aurelio Ranzato, Abdel-rahman Mohamed, and Geoffrey Hinton Department of Computer Science University of Toronto {gdahl, ranza

    Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine George E. Dahl, Marc’Aurelio Ranzato, Abdel-rahman Mohamed, and Geoffrey Hinton Department of Computer Science University of Toronto {gdahl, ranza

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    Source URL: www.cs.toronto.edu

    Language: English - Date: 2010-10-31 17:33:50
    47IEEE-28MSP01-Feature-TEMPLATE

    IEEE-28MSP01-Feature-TEMPLATE

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    Source URL: www.cs.toronto.edu

    Language: English - Date: 2013-02-18 03:09:52
    48Training Restricted Boltzmann Machines on Word Observations  George E. Dahl Department of Computer Science, University of Toronto, Toronto, ON, Canada

    Training Restricted Boltzmann Machines on Word Observations George E. Dahl Department of Computer Science, University of Toronto, Toronto, ON, Canada

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    Source URL: www.cs.toronto.edu

    Language: English - Date: 2012-05-18 17:44:28
    49Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines Roni Mittelman, Honglak Lee, Benjamin Kuipers, Silvio Savarese Department of Electrical Engineering and Computer

    Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines Roni Mittelman, Honglak Lee, Benjamin Kuipers, Silvio Savarese Department of Electrical Engineering and Computer

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    Source URL: cvgl.stanford.edu

    Language: English - Date: 2014-04-08 01:52:48
    50Maxout Networks Ian J. Goodfellow  David Warde-Farley  Mehdi Mirza

    Maxout Networks Ian J. Goodfellow David Warde-Farley Mehdi Mirza

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    Source URL: jmlr.org

    Language: English - Date: 2013-08-14 01:36:43