Algorithmic Learning Theory 17th International Conference, ALT 2006,
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Subseries of Lecture Notes in Computer Science
4264
José L. Balcázar Philip M. Long Frank Stephan (Eds.)
Algorithmic Learning Theory 17th International Conference, ALT 2006 Barcelona, Spain, October 7-10, 2006 Proceedings
13
Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors José L. Balcázar Universitat Politecnica de Catalunya, Dept. Llenguatges i Sistemes Informatics c/ Jordi Girona, 1-3, 08034 Barcelona, Spain E-mail: [email protected] Philip M. Long Google 1600 Amphitheatre Parkway, Mountain View, CA 94043, USA E-mail: [email protected] Frank Stephan National University of Singapore, Depts. of Mathematics and Computer Science 2 Science Drive 2, Singapore 117543, Singapore E-mail: [email protected]
Library of Congress Control Number: 2006933733
CR Subject Classification (1998): I.2.6, I.2.3, F.1, F.2, F.4, I.7 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-540-46649-5 Springer Berlin Heidelberg New York 978-3-540-46649-9 Springer 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. Violations are liable to prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com © Springer-Verlag Berlin Heidelberg 2006 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 11894841 06/3142 543210
Preface
This volume contains the papers presented at the 17th Annual Internation Conference on Algorithmic Learning Theory (ALT 2006) which was held in Barcelona (Catalunya, Spain), October 7–10, 2006. The conference was organized with support from the PASCAL Network within the framework of PASCAL Dialogues 2006, which comprised three conferences: Learning 2006 provided a forum for interdisciplinary study and discussion of the different aspects of learning and took place October 2–5, 2006 on the campus of Vilanova i La Geltr´ u. ALT 2006 was dedicated to the theoretical foundations of machine learning and took place in the rooms of the Institute of Catalan Studies in Barcelona. ALT provides a forum for high-quality talks with a strong theoretical background and scientific interchange in areas such as query models, on-line learning, inductive inference, algorithmic forecasting, boosting, support vector machines, kernel methods, reinforcement learning and statistical learning models. DS 2006 was the 9th International Conference on Discovery Science and
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