Learning theory

Results: 7211



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21FoPSS School 2018: Logic and Learning Introductory courses Sunday 1nd July James Worrell 9:00–10:30 Computational learning theory I

FoPSS School 2018: Logic and Learning Introductory courses Sunday 1nd July James Worrell 9:00–10:30 Computational learning theory I

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Source URL: fopss18.mimuw.edu.pl

Language: English - Date: 2018-05-31 08:11:25
    22CS229 Lecture notes Andrew Ng Part VI Learning Theory

    CS229 Lecture notes Andrew Ng Part VI Learning Theory

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    Source URL: cs229.stanford.edu

    Language: English - Date: 2017-09-22 22:54:32
      23Advanced Machine Learning Boosting theory Sébastien Blondiau, François Delarbre, Nathan Greffe, Arnaud Vallot May 2018 University of Liege

      Advanced Machine Learning Boosting theory Sébastien Blondiau, François Delarbre, Nathan Greffe, Arnaud Vallot May 2018 University of Liege

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

      Language: English - Date: 2018-04-18 08:12:03
        241 Active Learning of Points-To Specifications OSBERT BASTANI, Stanford University ALEX AIKEN, Stanford University PERCY LIANG, Stanford University Large libraries pose significant challenges to static points-to analysis.

        1 Active Learning of Points-To Specifications OSBERT BASTANI, Stanford University ALEX AIKEN, Stanford University PERCY LIANG, Stanford University Large libraries pose significant challenges to static points-to analysis.

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        Source URL: theory.stanford.edu

        Language: English - Date: 2017-07-21 16:53:33
          25Lecture Notes on Online Learning DRAFT Alexander Rakhlin —– These lecture notes contain material presented in the Statistical Learning Theory course at UC Berkeley, Spring’08.

          Lecture Notes on Online Learning DRAFT Alexander Rakhlin —– These lecture notes contain material presented in the Statistical Learning Theory course at UC Berkeley, Spring’08.

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          Source URL: www-stat.wharton.upenn.edu

          Language: English - Date: 2009-01-13 18:04:13
            26IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 60, NO. 4, APRILDecentralized Learning for Multiplayer Multiarmed Bandits

            IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 60, NO. 4, APRILDecentralized Learning for Multiplayer Multiarmed Bandits

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            Source URL: people.tamu.edu

            Language: English - Date: 2017-10-11 11:18:48
              27Summary of Computational Learning Theory Kui Tang December 2012 Prepared from notes and homeworks from Professor Rocco Servedio’s Fall 2012 course in preparation for the final. No guarantees of completeness or correctn

              Summary of Computational Learning Theory Kui Tang December 2012 Prepared from notes and homeworks from Professor Rocco Servedio’s Fall 2012 course in preparation for the final. No guarantees of completeness or correctn

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              Source URL: kui-tang.com

              Language: English - Date: 2017-09-19 15:56:08
                28I1900 Pattern Recognition and Machine Learning SpringHanghang Tong Course Information This course is centered around pattern recognition and machine learning algorithms, applications, and theory. We will cover a

                I1900 Pattern Recognition and Machine Learning SpringHanghang Tong Course Information This course is centered around pattern recognition and machine learning algorithms, applications, and theory. We will cover a

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                Source URL: tonghanghang.org

                Language: English - Date: 2018-08-12 18:40:05
                  29Stat 928: Statistical Learning Theory Lecture: 11 Symmetrization and Rademacher Averages Instructor: Sham Kakade

                  Stat 928: Statistical Learning Theory Lecture: 11 Symmetrization and Rademacher Averages Instructor: Sham Kakade

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                  Source URL: stat.wharton.upenn.edu

                  Language: English - Date: 2011-02-22 01:44:09
                    30T. Offerman: Beliefs and decision rules in public good games. Theory and experiments. Dordrecht: Kluwer. 1997, 24g pages, ISBNOn expectations, preferences, and learning This book presents an interdiscipllna

                    T. Offerman: Beliefs and decision rules in public good games. Theory and experiments. Dordrecht: Kluwer. 1997, 24g pages, ISBNOn expectations, preferences, and learning This book presents an interdiscipllna

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                    Source URL: webspace.qmul.ac.uk

                    Language: English - Date: 2012-07-09 05:27:05