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      • [PDF] Algorithmic Learning Theory Free Download by Csaba Szepesvári , Esko Ukkonen , Jyrki Kivinen , Thomas Zeugmann | Publisher : Springer | Category : Computers & Internet | Tags : Algorithmic, Theory, Kernel, Models | ISBN-10 : 3642244114 | ISBN-13 : 9783642244117
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      • Algorithmic Learning Theory by Csaba Szepesvári , Esko Ukkonen , Jyrki Kivinen , Thomas Zeugmann, Publisher : Springer
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    • Complete Book Description
      • This book constitutes the refereed proceedings of the 22nd International Conference on Algorithmic Learning Theory, ALT 2011, held in Espoo, Finland, in October 2011, co-located with the 14th International Conference on Discovery Science, DS 2011. The 28 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from numerous submissions. The papers are divided into topical sections of papers on inductive inference, regression, bandit problems, online learning, kernel and margin-based methods, intelligent agents and other learning models.

        Table of Contents

        Chapter 1 Invited Papers
        Chapter 2 Inductive Inference
        Chapter 3 Regression
        Chapter 4 Bandit Problems
        Chapter 5 Online Learning
        Chapter 6 Kernel and Margin Based Methods
        Chapter 7 Intelligent Agents
        Chapter 8 Other Learning Models
        Chapter 9 Erratum

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    • Book Details
      • Book Name : Algorithmic Learning Theory

        Edition : 1

        Author : Csaba Szepesvári , Esko Ukkonen , Jyrki Kivinen , Thomas Zeugmann

        Publisher : Springer

        Category : Computers & Internet

        ISBN-10 : 3642244114

        ISBN-13 : 9783642244117

        ASIN : 3642244114

        Pages : 466

        Language : English

        Publish Date : October 19, 2011
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