Yoshua Bengio

Results: 74



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31Efficient Non-Parametric Function Induction in Semi-Supervised Learning Olivier Delalleau, Yoshua Bengio and Nicolas Le Roux Dept. IRO, Universit´e de Montr´eal P.O. Box 6128, Succ. Centre-Ville, Montreal, H3C 3J7, Qc,

Efficient Non-Parametric Function Induction in Semi-Supervised Learning Olivier Delalleau, Yoshua Bengio and Nicolas Le Roux Dept. IRO, Universit´e de Montr´eal P.O. Box 6128, Succ. Centre-Ville, Montreal, H3C 3J7, Qc,

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Source URL: nicolas.le-roux.name

Language: English - Date: 2011-05-05 09:32:05
    32THE FIELDS INSTITUTE THEMATIC PROGRAM ON STATISTICAL INFERENCE, LEARNING, AND MODELS FOR JANUARY - JUNE, 2015

    THE FIELDS INSTITUTE THEMATIC PROGRAM ON STATISTICAL INFERENCE, LEARNING, AND MODELS FOR JANUARY - JUNE, 2015

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    Source URL: iuni.iu.edu

    Language: English - Date: 2015-02-18 16:06:16
    33Journal of Machine Learning Research1227 Submitted 5/02; Published 3/03 Extensions to Metric-Based Model Selection Yoshua Bengio

    Journal of Machine Learning Research1227 Submitted 5/02; Published 3/03 Extensions to Metric-Based Model Selection Yoshua Bengio

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    Source URL: www.jmlr.org

    Language: English - Date: 2004-08-31 14:19:05
      34Category: Learning and Cognition Preference: Oral Evolving Culture vs Local Minima Yoshua Bengio, Dept. IRO, U. Montreal

      Category: Learning and Cognition Preference: Oral Evolving Culture vs Local Minima Yoshua Bengio, Dept. IRO, U. Montreal

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      Source URL: snowbird.djvuzone.org

      Language: English - Date: 2012-02-13 19:54:15
        35NIPS 2015 MONTREAL • CANADA DECEMBER, 2015 | http://nips.cc/ Neural Information

        NIPS 2015 MONTREAL • CANADA DECEMBER, 2015 | http://nips.cc/ Neural Information

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        Source URL: media.nips.cc

        Language: English - Date: 2015-09-16 10:55:02
        36Image Classification using Higher-Order Neural Models James Bergstra, Yoshua Bengio, Jerome Louradour Universit´ e de Montr´ eal Neural network research in machine learning grew out of theories from computational neuro

        Image Classification using Higher-Order Neural Models James Bergstra, Yoshua Bengio, Jerome Louradour Universit´ e de Montr´ eal Neural network research in machine learning grew out of theories from computational neuro

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        Source URL: snowbird.djvuzone.org

        Language: English - Date: 2008-02-14 15:21:35
          37Random Search for Hyper-Parameter Optimization James Bergstra and Yoshua Bengio February 10, 2011 Many machine learning algorithms have hyperparameters - flags, values, and other configuration information that guides the

          Random Search for Hyper-Parameter Optimization James Bergstra and Yoshua Bengio February 10, 2011 Many machine learning algorithms have hyperparameters - flags, values, and other configuration information that guides the

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          Source URL: snowbird.djvuzone.org

          Language: English - Date: 2011-02-10 18:52:03
            38A Spike and Slab RBM Approach to Modeling Natural Images Aaron C. Courville James Bergstra Yoshua Bengio Universit´e de Montr´eal, Montr´eal QC H3T 1J4 Canada

            A Spike and Slab RBM Approach to Modeling Natural Images Aaron C. Courville James Bergstra Yoshua Bengio Universit´e de Montr´eal, Montr´eal QC H3T 1J4 Canada

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            Source URL: snowbird.djvuzone.org

            Language: English - Date: 2011-02-22 04:26:40
              39Multi-Prediction Deep Boltzmann Machines Ian J. Goodfellow, Mehdi Mirza, Aaron Courville, Yoshua Bengio D´epartement d’informatique et de recherche op´erationnelle Universit´e de Montr´eal Montr´eal, QC H3C 3J7

              Multi-Prediction Deep Boltzmann Machines Ian J. Goodfellow, Mehdi Mirza, Aaron Courville, Yoshua Bengio D´epartement d’informatique et de recherche op´erationnelle Universit´e de Montr´eal Montr´eal, QC H3C 3J7

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              Source URL: www-etud.iro.umontreal.ca

              Language: English - Date: 2013-11-14 10:42:16
                40Large-Scale Feature Learning With Spike-and-Slab Sparse Coding Ian J. Goodfellow Aaron Courville Yoshua Bengio DIRO, Universit´e de Montr´eal, Montr´eal, Qu´ebec, Canada

                Large-Scale Feature Learning With Spike-and-Slab Sparse Coding Ian J. Goodfellow Aaron Courville Yoshua Bengio DIRO, Universit´e de Montr´eal, Montr´eal, Qu´ebec, Canada

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                Source URL: www-etud.iro.umontreal.ca

                Language: English - Date: 2012-06-01 13:01:53