Model selection

Results: 1077



#Item
1Abstraction Selection in Model-Based Reinforcement Learning Nan Jiang Alex Kulesza Satinder Singh Computer Science & Engineering, University of Michigan

Abstraction Selection in Model-Based Reinforcement Learning Nan Jiang Alex Kulesza Satinder Singh Computer Science & Engineering, University of Michigan

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Source URL: proceedings.mlr.press

Language: English - Date: 2017-05-06 17:27:04
    2Overview  Introduction  Parameter Estimation  Model Selection  Structure Discovery

    Overview  Introduction  Parameter Estimation  Model Selection  Structure Discovery

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    Source URL: robotics.stanford.edu

    Language: English - Date: 2005-03-04 20:55:34
      3Machine Learning manuscript No. (will be inserted by the editor) Model Selection in Reinforcement Learning Amir-massoud Farahmand1 , Csaba Szepesv´ ari1

      Machine Learning manuscript No. (will be inserted by the editor) Model Selection in Reinforcement Learning Amir-massoud Farahmand1 , Csaba Szepesv´ ari1

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      Source URL: www.sologen.net

      Language: English - Date: 2014-10-15 20:28:00
        4A Philosophical Analysis of Bayesian Model Selection for Inequality Constrained Models Jan-Willem Romeijn1 and Rens van de Schoot2 1 2

        A Philosophical Analysis of Bayesian Model Selection for Inequality Constrained Models Jan-Willem Romeijn1 and Rens van de Schoot2 1 2

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        Source URL: www.philos.rug.nl

        Language: English - Date: 2008-05-22 13:41:58
          5Conditional Density Estimation by Penalized Likelihood Model Selection and Applications S. X. Cohen (IPANEMA / Synchrotron Soleil) and E. Le Pennec (SELECT / Inria Saclay - Île de France and Université Paris Sud) July

          Conditional Density Estimation by Penalized Likelihood Model Selection and Applications S. X. Cohen (IPANEMA / Synchrotron Soleil) and E. Le Pennec (SELECT / Inria Saclay - Île de France and Université Paris Sud) July

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          Source URL: lepennec.perso.math.cnrs.fr

          Language: English - Date: 2012-07-09 10:29:03
            6Running head: BAYESIAN MODEL SELECTION A Non-Technical Introduction to the Evaluation of Informative Hypotheses using Bayesian Model Selection Rens van de Schoot, Joris Mulder,

            Running head: BAYESIAN MODEL SELECTION A Non-Technical Introduction to the Evaluation of Informative Hypotheses using Bayesian Model Selection Rens van de Schoot, Joris Mulder,

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            Source URL: www.philos.rug.nl

            Language: English - Date: 2011-08-05 09:56:45
              79 Using Molecular Data to Detect Selection: Signatures From Multiple Historical Events Model selection is a process of seeking the least inadequate model from a predefined set, all of which may be grossly inadequate as a

              9 Using Molecular Data to Detect Selection: Signatures From Multiple Historical Events Model selection is a process of seeking the least inadequate model from a predefined set, all of which may be grossly inadequate as a

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              Source URL: nitro.biosci.arizona.edu

              Language: English - Date: 2012-01-24 19:28:10
                8Model selection Model checking Chapter 6 - Model selection and checkingHidden Markov Models

                Model selection Model checking Chapter 6 - Model selection and checkingHidden Markov Models

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                Source URL: www2.imm.dtu.dk

                Language: English - Date: 2014-12-18 07:20:59
                  9Clustering and Model Selection via Penalized Likelihood for Different-sized Categorical Data Vectors Esther Derman∗1 and Erwan Le Pennec† 1 1 CMAP, Ecole polytechnique, CNRS, Université Paris-Saclay, 91128, Palaise

                  Clustering and Model Selection via Penalized Likelihood for Different-sized Categorical Data Vectors Esther Derman∗1 and Erwan Le Pennec† 1 1 CMAP, Ecole polytechnique, CNRS, Université Paris-Saclay, 91128, Palaise

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                  Source URL: lepennec.perso.math.cnrs.fr

                  Language: English - Date: 2018-02-23 13:41:32
                    10COMPRESSIVE NONPARAMETRIC GRAPHICAL MODEL SELECTION FOR TIME SERIES Alexander Jung 1, Reinhard Heckel 2, Helmut B¨olcskei 2, and Franz Hlawatsch 1 1 Institute of Telecommunications, Vienna University of Technology, Aus

                    COMPRESSIVE NONPARAMETRIC GRAPHICAL MODEL SELECTION FOR TIME SERIES Alexander Jung 1, Reinhard Heckel 2, Helmut B¨olcskei 2, and Franz Hlawatsch 1 1 Institute of Telecommunications, Vienna University of Technology, Aus

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                    Source URL: www.reinhardheckel.com

                    - Date: 2018-02-26 14:16:43