Learning Theory

17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004. Proceedings

  • John Shawe-Taylor
  • Yoram Singer
Conference proceedings COLT 2004
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3120)

Table of contents

  1. Front Matter
  2. Economics and Game Theory

    1. Sham M. Kakade, Michael Kearns, Luis E. Ortiz
      Pages 17-32
    2. Sham M. Kakade, Dean P. Foster
      Pages 33-48
  3. OnLine Learning

    1. Nicolò Cesa-Bianchi, Gábor Lugosi, Gilles Stoltz
      Pages 77-92
    2. Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile
      Pages 93-108
  4. Inductive Inference

    1. François Denis, Yann Esposito
      Pages 124-139
  5. Probabilistic Models

    1. Evgeny Drukh, Yishay Mansour
      Pages 170-185
    2. Tuğkan Batu, Sudipto Guha, Sampath Kannan
      Pages 186-199
  6. Boolean Function Learning

    1. Dmitry Gavinsky, Avi Owshanko
      Pages 200-209
    2. Dana Angluin, Jiang Chen
      Pages 210-223
    3. Adam R. Klivans, Rocco A. Servedio
      Pages 224-238
  7. Empirical Processes

    1. H. Quang Minh, Thomas Hofmann
      Pages 239-254
    2. Charles A. Micchelli, Massimiliano Pontil
      Pages 255-269
    3. Peter L. Bartlett, Shahar Mendelson, Petra Philips
      Pages 270-284

About these proceedings

Keywords

Boolean function Boosting algorithmic learning bayesian networks computational learning decision theory game theory inductive inference kernel methods learning learning theory machine learning online learning statistical learning support vector machine

Editors and affiliations

  • John Shawe-Taylor
    • 1
  • Yoram Singer
    • 2
  1. 1.The Centre for Computational Statistics and Machine Learning Department of Computer ScienceUniversity College LondonLondon
  2. 2.GoogleMountain ViewUSA

Bibliographic information

  • DOI https://doi.org/10.1007/b98522
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-22282-8
  • Online ISBN 978-3-540-27819-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book