Algorithmic Learning Theory 13th International Conference, ALT 2
This volume contains the papers presented at the 13th Annual Conference on Algorithmic Learning Theory (ALT 2002), which was held in Lub ¨ eck (Germany) during November 24–26, 2002. The main objective of the conference was to p- vide an interdisciplinary
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Lecture Notes in Computer Science Edited by G. Goos, J. Hartmanis, and J. van Leeuwen
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Nicolò Cesa-Bianchi Masayuki Numao Rüdiger Reischuk (Eds.)
Algorithmic Learning Theory 13th International Conference, ALT 2002 Lübeck, Germany, November 24-26, 2002 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 Nicolò Cesa-Bianchi Università degli Studi di Milano Dipartimento di Tecnologie dell’Informazione via Bramante 65, 26013 Crema (CR), Italy E-mail: [email protected] Masayuki Numao Tokyo Institute of Technology, Department of Computer Science 2-12-1, Ohokayama Meguro Ward, Tokyo 152-8552, Japan E-mail: [email protected] Rüdiger Reischuk Universität zu Lübeck, Institut für Theoretische Informatik Wallstr. 40, 23560 Lübeck, Germany 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 Nationalbibliographie; detailed bibliographic data is available in the Internet at .
CR Subject Classification (1998): I.2.6, I.2.3, F.1, F.2, F.4.1, I.7 ISSN 0302-9743 ISBN 3-540-00170-0 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 2002 Printed in Germany Typesetting: Camera-ready by author, data conversion by PTP-Berlin, Stefan Sossna e.K. Printed on acid-free paper SPIN: 10871518 06/3142 543210
Preface
This volume contains the papers presented at the 13th Annual Conference on Algorithmic Learning Theory (ALT 2002), which was held in L¨ ubeck (Germany) during November 24–26, 2002. The main objective of the conference was to provide an interdisciplinary forum discussing the theoretical foundations of machine learning as well as their relevance to practical applications. The conference was colocated with the Fifth International Conference on Discovery Science (DS 2002). The volume includes 26 technical contributions which were selected by the program committee from 49 submissions. It also contains the ALT 2002 invited talks presented by Susumu Hayashi (Kobe U
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