Regularization

Results: 577



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101Journal of Machine Learning ResearchSubmitted 4/00; PublishedManifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples

Journal of Machine Learning ResearchSubmitted 4/00; PublishedManifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples

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Source URL: web.cse.ohio-state.edu

Language: English - Date: 2006-10-14 14:25:57
    102Regularization Paths with Guarantees for Convex Semidefinite Optimization Joachim Giesen Friedrich-Schiller-University Jena

    Regularization Paths with Guarantees for Convex Semidefinite Optimization Joachim Giesen Friedrich-Schiller-University Jena

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    Source URL: www.m8j.net

    Language: English - Date: 2012-03-26 11:38:42
      103Learning with Locally Linear Feature Regularization Ted Sandler, John Blitzer, Lyle Ungar Department of Computer and Information Science University of Pennsylvania, Philadelphia, PAtsandler, blitzer, ungar)@seas

      Learning with Locally Linear Feature Regularization Ted Sandler, John Blitzer, Lyle Ungar Department of Computer and Information Science University of Pennsylvania, Philadelphia, PAtsandler, blitzer, ungar)@seas

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      Source URL: snowbird.djvuzone.org

      Language: English - Date: 2008-02-14 15:21:35
        104Theoretical Bounds On and Empirical Robustness of Score Regularization to Different Similarity Measures ∗ Fernando Diaz

        Theoretical Bounds On and Empirical Robustness of Score Regularization to Different Similarity Measures ∗ Fernando Diaz

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        Source URL: ciir.cs.umass.edu

        Language: English - Date: 2008-07-17 15:18:52
          105Overfitting is a Many Splendored Thing Rich Caruana Microsoft Corporation Redmond WAWe tend to think of overfitting as a global phenomenon that can be controlled by a few regularization

          Overfitting is a Many Splendored Thing Rich Caruana Microsoft Corporation Redmond WAWe tend to think of overfitting as a global phenomenon that can be controlled by a few regularization

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          Source URL: snowbird.djvuzone.org

          Language: English - Date: 2011-02-22 04:25:56
            106Regularization and Semi-supervised Learning on Large Graphs Mikhail Belkin, Irina Matveeva, and Partha Niyogi The University of Chicago, Department of Computer Science {misha, matveeva, niyogi}@cs.uchicago.edu

            Regularization and Semi-supervised Learning on Large Graphs Mikhail Belkin, Irina Matveeva, and Partha Niyogi The University of Chicago, Department of Computer Science {misha, matveeva, niyogi}@cs.uchicago.edu

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            Source URL: people.cs.uchicago.edu

            Language: English - Date: 2004-05-10 19:34:51
              107Covariance regularization by thresholding

              Covariance regularization by thresholding

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              Source URL: dept.stat.lsa.umich.edu

              Language: English - Date: 2009-01-06 11:23:39
                108Manifold Regularization and Semi-supervised Learning: Some Theoretical Analyses Partha Niyogi∗ January 22, 2008

                Manifold Regularization and Semi-supervised Learning: Some Theoretical Analyses Partha Niyogi∗ January 22, 2008

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                Source URL: people.cs.uchicago.edu

                Language: English - Date: 2008-01-23 15:53:14
                  109CLUSTERING USING SUM-OF-NORMS REGULARIZATION WITH APPLICATION TO PARTICLE FILTER OUTPUT COMPUTATION Fredrik Lindsten, Henrik Ohlsson and Lennart Ljung Division of Automatic Control, Link¨oping University, SELink

                  CLUSTERING USING SUM-OF-NORMS REGULARIZATION WITH APPLICATION TO PARTICLE FILTER OUTPUT COMPUTATION Fredrik Lindsten, Henrik Ohlsson and Lennart Ljung Division of Automatic Control, Link¨oping University, SELink

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                  Source URL: users.isy.liu.se

                  Language: English
                    110Document-Word Co-Regularization for Semi-supervised Sentiment Analysis Vikas Sindhwani and Prem Melville IBM T. J. Watson Research Center, Yorktown Heights, NY 10598 {vsindhw,pmelvil}@us.ibm.com Abstract

                    Document-Word Co-Regularization for Semi-supervised Sentiment Analysis Vikas Sindhwani and Prem Melville IBM T. J. Watson Research Center, Yorktown Heights, NY 10598 {vsindhw,pmelvil}@us.ibm.com Abstract

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                    Source URL: www.prem-melville.com

                    Language: English - Date: 2010-03-03 19:12:36