Multiview Machine Learning
This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpinnings and great practical success. This book describes
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Multiview Machine Learning
Shiliang Sun Liang Mao Ziang Dong Lidan Wu •
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Multiview Machine Learning
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Shiliang Sun Department of Computer Science and Technology East China Normal University Shanghai, China
Liang Mao Department of Computer Science and Technology East China Normal University Shanghai, China
Ziang Dong Department of Computer Science and Technology East China Normal University Shanghai, China
Lidan Wu Department of Computer Science and Technology East China Normal University Shanghai, China
ISBN 978-981-13-3028-5 ISBN 978-981-13-3029-2 https://doi.org/10.1007/978-981-13-3029-2
(eBook)
Library of Congress Control Number: 2018963292 © Springer Nature Singapore Pte Ltd. 2019 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. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Preface
During the past two decades, multiview learning as an emerging direction in machine learning became a prevailing research topic in artificial intelligence (AI). Its success and popularity were largely motivated by the fact that real-world applications generate various data as different views while people try to manipulate and integrate those data for performance improvements. In the data era, this situation will continue. We think the multiview learning research will be active for a long time, and further development and in-depth studies are needed to make it more effective and practical. In 2013, a review paper of mine, entitled “A Survey of Multi-view Machine Learning” (Neural Computing and Applications, 2013), was published. It generates a good dissemination and promotion of multiview learning and has been well cited. Since then, much more research has been developed. This book aims to provi
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