Mathematical Theories of Machine Learning - Theory and Applications_Bin Shi, S. S. Iyengar.pdf

BinShi∙ S. S.Iyengar Mathematical  Theories of  Machine Learning  - Theory and  Applications Mathematical Theories of Machine Learning - Theory and Applications Bin Shi • S. S. Iyengar MathematicalTheoriesof MachineLearning-Theory andApplications 123 Bin Shi University of California Berkeley, USA S. S. Iyengar Florida International University Miami, FL, USA ISBN 978-3-030-17075-2 ISBN 978-3-030-17076-9 (eBook) https://doi.org/10.1007/978-3-030-17076-9 © Springer Nature Switzerland AG 2020 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 Switzerland AG. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland Dedicated to Prof. Tao Li (Late) for his contributions to Machine Learning and AI and Prof. Ruzena Bajcsy