Braverman Readings in Machine Learning. Key Ideas from Inception to Current State
This state-of-the-art survey is dedicated to the memory of Emmanuil Markovich Braverman (1931-1977), a pioneer in developing the machine learning theory.
The 12 revised full papers and 4 short papers included in this volume were presented at t
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State-of-the-Art Survey
Lev Rozonoer · Boris Mirkin Ilya Muchnik (Eds.)
Braverman Readings in Machine Learning Key Ideas from Inception to Current State International Conference Commemorating the 40th Anniversary of Emmanuil Braverman's Decease Boston, MA, USA, April 28–30, 2017, Invited Talks
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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
Lev Rozonoer Boris Mirkin Ilya Muchnik (Eds.) •
Braverman Readings in Machine Learning Key Ideas from Inception to Current State International Conference Commemorating the 40th Anniversary of Emmanuil Braverman’s Decease Boston, MA, USA, April 28–30, 2017 Invited Talks
123
Editors Lev Rozonoer West Newton, MA USA Boris Mirkin National Research University Higher School of Economics Moscow Russia
Ilya Muchnik Rutgers University Piscataway, NJ USA
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-319-99491-8 ISBN 978-3-319-99492-5 (eBook) https://doi.org/10.1007/978-3-319-99492-5 Library of Congress Control Number: 2018952242 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer Nature Switzerland AG 2018, corrected publication 2018 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. Cover illustration: Example detector data from the Daya Bay Reactor Neutrino experiment (p. 287, Fig. 14) This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
The m
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