Statistical theory

Results: 9532



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1Stat 928: Statistical Learning Theory  Lecture: 4 The Central Limit Theorem; Large Deviations; and Rate Functions Instructor: Sham Kakade

Stat 928: Statistical Learning Theory Lecture: 4 The Central Limit Theorem; Large Deviations; and Rate Functions Instructor: Sham Kakade

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Source URL: stat.wharton.upenn.edu

Language: English - Date: 2011-01-27 22:12:22
    2Stat 928: Statistical Learning Theory  Lecture: 22 Exponentiated Gradient Descent Instructor: Sham Kakade

    Stat 928: Statistical Learning Theory Lecture: 22 Exponentiated Gradient Descent Instructor: Sham Kakade

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    Source URL: stat.wharton.upenn.edu

    Language: English - Date: 2011-04-18 18:20:03
      3ECE901 Spring 2007 Statistical Learning Theory  Instructor: R. Nowak Lecture 13: Maximum Likelihood Estimation

      ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 13: Maximum Likelihood Estimation

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      Source URL: nowak.ece.wisc.edu

      Language: English - Date: 2012-03-09 07:33:42
        4Statistical learning theory : a primer Louis Wehenkel University of Li`ege - Institut Montefiore Department of Electrical Engineering and Computer Science Email :  February 1, 2018

        Statistical learning theory : a primer Louis Wehenkel University of Li`ege - Institut Montefiore Department of Electrical Engineering and Computer Science Email : February 1, 2018

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        Source URL: www.montefiore.ulg.ac.be

        Language: English - Date: 2018-02-28 11:12:49
          5Stat 928: Statistical Learning Theory  Lecture: 19 Perceptron Lower Bound & The Winnow Algorithm Instructor: Sham Kakade

          Stat 928: Statistical Learning Theory Lecture: 19 Perceptron Lower Bound & The Winnow Algorithm Instructor: Sham Kakade

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          Source URL: stat.wharton.upenn.edu

          Language: English - Date: 2011-04-05 21:10:43
            6ECE901 Spring 2007 Statistical Learning Theory  Instructor: R. Nowak Lecture 14: Maximum Likelihood and Complexity Regularization Review : Maximum Likelihood Estimation We have n i.i.d observations drawn from an unknown

            ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 14: Maximum Likelihood and Complexity Regularization Review : Maximum Likelihood Estimation We have n i.i.d observations drawn from an unknown

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            Source URL: nowak.ece.wisc.edu

            Language: English - Date: 2012-03-09 07:33:43
              7Stat 928: Statistical Learning Theory  Lecture: 9 Empirical Process Theory and Oracle Inequalities Instructor: Sham Kakade

              Stat 928: Statistical Learning Theory Lecture: 9 Empirical Process Theory and Oracle Inequalities Instructor: Sham Kakade

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              Source URL: stat.wharton.upenn.edu

              Language: English - Date: 2011-02-15 01:48:41
                8Stat 928: Statistical Learning Theory  Lecture: 23 Online to Batch Conversions Instructor: Sham Kakade

                Stat 928: Statistical Learning Theory Lecture: 23 Online to Batch Conversions Instructor: Sham Kakade

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                Source URL: stat.wharton.upenn.edu

                Language: English - Date: 2011-04-18 18:20:33
                  9Stat 928: Statistical Learning Theory  Lecture: 24 Growth Functions and the VC dimension Instructor: Sham Kakade

                  Stat 928: Statistical Learning Theory Lecture: 24 Growth Functions and the VC dimension Instructor: Sham Kakade

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                  Source URL: stat.wharton.upenn.edu

                  Language: English - Date: 2011-04-18 18:21:01
                    10Stat 928: Statistical Learning Theory  Lecture: 8 Feature Selection in the Non-Orthogonal Case Instructor: Sham Kakade

                    Stat 928: Statistical Learning Theory Lecture: 8 Feature Selection in the Non-Orthogonal Case Instructor: Sham Kakade

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                    Source URL: stat.wharton.upenn.edu

                    Language: English - Date: 2011-04-12 12:45:49