Minimum Error Entropy Classification
This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wide
- PDF / 8,315,737 Bytes
- 270 Pages / 453.543 x 683.15 pts Page_size
- 89 Downloads / 272 Views
420
Joaquim P. Marques de Sá Luís M.A. Silva Jorge M.F. Santos Luís A. Alexandre
Minimum Error Entropy Classification
13
Studies in Computational Intelligence Editor-in-Chief Prof. Janusz Kacprzyk Systems Research Institute Polish Academy of Sciences ul. Newelska 6 01-447 Warsaw Poland E-mail: [email protected]
For further volumes: http://www.springer.com/series/7092
420
Joaquim P. Marques de Sá, Luís M.A. Silva, Jorge M.F. Santos, and Luís A. Alexandre
Minimum Error Entropy Classification
ABC
Authors Joaquim P. Marques de Sá INEB-Instituto de Engenharia Biomédica Porto Portugal Luís M.A. Silva Dept. of Mathematics Univ. de Aveiro Campus Universitário de Santiago Aveiro Portugal
Jorge M.F. Santos Dept. of Mathematics ISEP, School of Engineering Polytechnic of Porto Porto Portugal Luís A. Alexandre Dept. of Informatics Univ. Beira Interior IT - Instituto de Telecomunicações R. Marquês d’Ávila e Bolama Covilhã Portugal
ISSN 1860-949X e-ISSN 1860-9503 ISBN 978-3-642-29028-2 e-ISBN 978-3-642-29029-9 DOI 10.1007/978-3-642-29029-9 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2012934147 c Springer-Verlag Berlin Heidelberg 2013 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. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. 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. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
To our wives and children.
Foreword
Data Loading...
