Learning Theory and Kernel Machines 16th Annual Conference on Le

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Subseries of Lecture Notes in Computer Science

2777

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Bernhard Schölkopf Manfred K. Warmuth (Eds.)

Learning Theory and Kernel Machines 16th Annual Conference on Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003 Washington, DC, USA, August 24-27, 2003 Proceedings

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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA J¨org Siekmann, University of Saarland, Saarbr¨ucken, Germany Volume Editors Bernhard Schölkopf Max Planck Institute for Biological Cybernetics Empirical Inference Department Spemannstr. 38, 72076 Tübingen, Germany E-mail: [email protected] Manfred K. Warmuth University of California Department of Computer Science 227 Baskin Engineering, Santa Cruz, CA 95064,USA E-mail: [email protected] Cataloging-in-Publication Data applied for A catalog record for this book is available from the Library of Congress. Bibliographic information published by Die Deutsche Bibliothek Die Deutsche Bibliothek lists this publication in the Deutsche Nationalbibliografie; detailed bibliographic data is available in the Internet at .

CR Subject Classification (1998): I.2.6, I.2.3, I.2, F.4.1, F.2, F.1.1 ISSN 0302-9743 ISBN 3-540-40720-0 Springer-Verlag Berlin Heidelberg New York This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer-Verlag. Violations are liable for prosecution under the German Copyright Law. Springer-Verlag Berlin Heidelberg New York a member of BertelsmannSpringer Science+Business Media GmbH http://www.springer.de © Springer-Verlag Berlin Heidelberg 2003 Printed in Germany Typesetting: Camera-ready by author, data conversion by Olgun Computergrafik Printed on acid-free paper SPIN: 10931424 06/3142 543210

Preface

This volume contains papers presented at the joint 16th Annual Conference on Learning Theory (COLT) and the 7th Annual Workshop on Kernel Machines, held in Washington, DC, USA, during August 24–27, 2003. COLT, which recently merged with EuroCOLT, has traditionally been a meeting place for learning theorists. We hope that COLT will benefit from the collocation with the annual workshop on kernel machines, formerly held as a NIPS postconference workshop. The technical program contained 47 papers selected from 92 submissions. All 47 papers were presented as posters; 22 of the papers were additionally presented as talks. There were also two target areas with invited contributions. In computational game theory, a tutorial entitled “Learning Topics in Game-Theoretic Decision Making” was given by Michael Littman, and an invited paper on “A Gener