Computational Learning Theory

15th Annual Conference on Computational Learning Theory, COLT 2002 Sydney, Australia, July 8–10, 2002 Proceedings

  • Jyrki Kivinen
  • Robert H. Sloan
Conference proceedings COLT 2002

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2375)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2375)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Statistical Learning Theory

    1. Shahar Mendelson, Robert C. Williamson
      Pages 1-13
    2. Shahar Mendelson, Roman Vershynin
      Pages 14-28
    3. Shahar Mendelson
      Pages 29-43
    4. Peter L. Bartlett, Olivier Bousquet, Shahar Mendelson
      Pages 44-58
    5. Olivier Bousquet, Vladimir Koltchinskii, Dmitriy Panchenko
      Pages 59-73
  3. Online Learning

    1. Eiji Takimoto, Manfred K. Warmuth
      Pages 74-89
    2. Michael V. Vyugin, Vladimir V. V’yugin
      Pages 90-105
    3. Yuri Kalnishkan, Michael V. Vyugin
      Pages 105-120
    4. Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile
      Pages 121-137
    5. Chris Mesterharm
      Pages 138-153
  4. Inductive Inference

    1. Henning Fernau
      Pages 153-168
    2. Yusuke Suzuki, Ryuta Akanuma, Takayoshi Shoudai, Tetsuhiro Miyahara, Tomoyuki Uchida
      Pages 169-184
    3. Colin de la Higuera, Jose Oncina
      Pages 185-200
    4. Sandra Zilles
      Pages 201-216
  5. PAC Learning

    1. Nader H. Bshouty, Jeffrey C. Jackson, Christino Tamon
      Pages 244-254
    2. Eyal Even-Dar, Shie Mannor, Yishay Mansour
      Pages 255-270

About these proceedings

Keywords

Boosting Internet Markov decision process Variable algorithmic learning algorithms classification complexity computational learning computational learning theory deduction formal reasoning learning statistical learning web-based learning

Editors and affiliations

  • Jyrki Kivinen
    • 1
  • Robert H. Sloan
    • 2
  1. 1.Research School of Information Sciences and EngineeringAustralian National UniversityCanberraAustralia
  2. 2.Computer Science DepartmentUniversity of Illinois at ChicagoChicagoUSA

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-45435-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2002
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-43836-6
  • Online ISBN 978-3-540-45435-9
  • Series Print ISSN 0302-9743
  • About this book