Machine Learning and Interpretation in Neuroimaging 4th Internationa
This book constitutes the revised selected papers from the 4th International Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2014, held in Montreal, QC, Canada, in December 2014 as a satellite event of the 11th annual conferenc
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Irina Rish · Georg Langs Leila Wehbe · Guillermo Cecchi Kai-min Kevin Chang · Brian Murphy (Eds.)
Machine Learning and Interpretation in Neuroimaging 4th International Workshop, MLINI 2014 Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014 Revised Selected Papers
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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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More information about this series at http://www.springer.com/series/1244
Irina Rish Georg Langs Leila Wehbe Guillermo Cecchi Kai-min Kevin Chang Brian Murphy (Eds.) •
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Machine Learning and Interpretation in Neuroimaging 4th International Workshop, MLINI 2014 Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014 Revised Selected Papers
123
Editors Irina Rish IBM T.J. Watson Research Center Yorktown Heights, NY USA
Guillermo Cecchi T.J. Watson Research Center Yorktown Heights, NY USA
Georg Langs Medical University of Vienna Vienna Austria
Kai-min Kevin Chang Carnegie Mellon University Pittsburgh, PA USA
Leila Wehbe University of California Berkeley, CA USA
Brian Murphy Queen’s University Belfast Belfast UK
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-319-45173-2 ISBN 978-3-319-45174-9 (eBook) DOI 10.1007/978-3-319-45174-9 Library of Congress Control Number: 2016950362 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer International Publishing AG 2016 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 This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface Machine Learning, Multivariat
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