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Table of contents

  1. Front Matter
    Pages I-X
  2. Invited Lectures

    1. Robert E. Schapire
      Pages 1-10
  3. Learning from Random Examples

    1. Nigel Duffy, David Helmbold
      Pages 18-33
    2. Ran Bachrach, Shai Fine, Eli Shamir
      Pages 34-49
    3. Peter Bartlett, Shai Ben-David
      Pages 50-62
  4. Learning from Queries and Counterexamples

    1. Víctor Dalmau, Peter Jeavons
      Pages 63-78
    2. David Guijarro, Víctor Lavín, Vijay Raghavan
      Pages 91-100
    3. Roni Khardon
      Pages 111-125
  5. Reinforcement Learning

  6. On-line Learning and Expert Advice

    1. D. P. Helmbold, S. Panizza, M. K. Warmuth
      Pages 138-152
    2. Jyrki Kivinen, Manfred K. Warmuth
      Pages 153-167
  7. Teaching and Learning

  8. Inductive Inference

    1. Matthias Ott, Frank Stephan
      Pages 183-197
    2. Sanjay Jain, Arun Sharma
      Pages 198-213
  9. Statistical Theory of Learning and Pattern Recognition

    1. Alex J. Smola, Robert C. Williamson, Sebastian Mika, Bernhard Schölkopf
      Pages 214-229
    2. Nicolas Vayatis, Robert Azencott
      Pages 230-240
    3. John Shawe-Taylor, Nello Cristianini
      Pages 263-273
    4. John Shawe-Taylor, Robert C. Williamson
      Pages 274-285
    5. Robert C. Williamson, Alex J. Smola, Bernhard Schölkopf
      Pages 285-299
  10. Back Matter
    Pages 301-301

About these proceedings

Keywords

Algorithmic Learning Computational Learning Inductive Inference Online Learning learning learning theory pattern recognition reinforcement learning

Editors and affiliations

  • Paul Fischer
    • 1
  • Hans Ulrich Simon
    • 2
  1. 1.Lehrstuhl für Informatik IIUniversität DortmundDortmundGermany
  2. 2.Fakultät für MathematikRuhr Universität BochumBochumGermany

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-49097-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 1999
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-65701-9
  • Online ISBN 978-3-540-49097-5
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site