Algorithmic Learning Theory 26th International Conference, ALT 2015,
This book constitutes the proceedings of the 26th International Conference on Algorithmic Learning Theory, ALT 2015, held in Banff, AB, Canada, in October 2015, and co-located with the 18th International Conference on Discovery Science, DS 2015. The 23 fu
- PDF / 7,595,208 Bytes
- 405 Pages / 439.37 x 666.142 pts Page_size
- 65 Downloads / 202 Views
Kamalika Chaudhuri Claudio Gentile Sandra Zilles (Eds.)
Algorithmic Learning Theory 26th International Conference, ALT 2015 Banff, AB, Canada, October 4–6, 2015 Proceedings
123
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
9355
More information about this series at http://www.springer.com/series/1244
Kamalika Chaudhuri Claudio Gentile Sandra Zilles (Eds.) •
Algorithmic Learning Theory 26th International Conference, ALT 2015 Banff, AB, Canada, October 4–6, 2015 Proceedings
123
Editors Kamalika Chaudhuri University of California La Jolla, CA USA Claudio Gentile Università dell’Insubria 21100 Varese Italy
Sandra Zilles Department of Computer Science University of Regina Regina, SK Canada
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-319-24485-3 ISBN 978-3-319-24486-0 (eBook) DOI 10.1007/978-3-319-24486-0 Library of Congress Control Number: 2015949454 LNCS Sublibrary: SL7 – Artificial Intelligence Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2015 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. 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. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www.springer.com)
Preface
This volume contains the papers presented at the 26th International Conference on Algorithmic Learning Theory (ALT 2015), which was held in Banff, Alberta, Canada during October 4–6, 2015. ALT 2015 was co-located with the 18th International Conference on Discovery Science (DS 2015). The technical program of ALT 2015 had four invited talks (presented jointly to both ALT 2015 and DS 2015) and 23 papers selected
Data Loading...
