Algorithmic Learning Theory

17th International Conference, ALT 2006, Barcelona, Spain, October 7-10, 2006. Proceedings

  • José L. Balcázar
  • Philip M. Long
  • Frank Stephan
Conference proceedings ALT 2006
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4264)

Table of contents

  1. Front Matter
  2. Editors’ Introduction

    1. Jose L. Balcázar, Philip M. Long, Frank Stephan
      Pages 1-9
  3. Invited Contributions

  4. Regular Contributions

    1. Alp Atıcı, Rocco A. Servedio
      Pages 32-47
    2. Matti Kääriäinen
      Pages 63-77
    3. Frank J. Balbach, Thomas Zeugmann
      Pages 93-108
    4. Stephen Fenner, William Gasarch
      Pages 109-123
    5. Sanjay Jain, Efim Kinber
      Pages 139-153
    6. Sanjay Jain, Steffen Lange, Sandra Zilles
      Pages 169-183
    7. Nader H. Bshouty, Iddo Bentov
      Pages 184-198
    8. Eyal Even-Dar, Michael Kearns, Jennifer Wortman
      Pages 199-213

About these proceedings

Keywords

Boosting Support Vector Machine algorithm algorithmic learning theory algorithms kernel method learning learning theory machine learning reinforcement learning

Editors and affiliations

  • José L. Balcázar
    • 1
  • Philip M. Long
    • 2
  • Frank Stephan
    • 3
  1. 1.Departament de Llenguatges i Sistemes Informàtics Laboratori d’Algorísmica Relacional, Complexitat i AprenentatgeUniversitat Politècnica de CatalunyaBarcelona 
  2. 2.GoogleMountain ViewUSA
  3. 3.Department of Computer Science and Department of MathematicsNational University of SingaporeSingaporeRepublic of Singapore

Bibliographic information

  • DOI https://doi.org/10.1007/11894841
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-46649-9
  • Online ISBN 978-3-540-46650-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book