Algorithmic Learning Theory 24th International Conference, ALT 2
This book constitutes the proceedings of the 24th International Conference on Algorithmic Learning Theory, ALT 2013, held in Singapore in October 2013, and co-located with the 16th International Conference on Discovery Science, DS 2013. The 23 papers pres
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Sanjay Jain Rémi Munos Frank Stephan Thomas Zeugmann (Eds.)
Algorithmic Learning Theory 24th International Conference, ALT 2013 Singapore, October 2013 Proceedings
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Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science LNAI Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany
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Sanjay Jain Rémi Munos Frank Stephan Thomas Zeugmann (Eds.)
Algorithmic Learning Theory 24th International Conference, ALT 2013 Singapore, October 6-9, 2013 Proceedings
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Volume Editors Sanjay Jain National University of Singapore Republic of Singapore E-mail: [email protected] Rémi Munos Inria Lille - Nord Europe Villeneuve d’Ascq, France E-mail: [email protected] Frank Stephan National University of Singapore Republic of Singapore E-mail: [email protected] Thomas Zeugmann Hokkaido University Sapporo, Japan E-mail: [email protected]
ISSN 0302-9743 e-ISSN 1611-3349 ISBN 978-3-642-40934-9 e-ISBN 978-3-642-40935-6 DOI 10.1007/978-3-642-40935-6 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2013947712 CR Subject Classification (1998): I.2, F.4.1, F.1, F.2, I.2.3, I.2.6 LNCS Sublibrary: SL 7 – Artificial Intelligence © Springer-Verlag Berlin Heidelberg 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility
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