Extension III: Variational Margin Settings within Local Data in Support Vector Regression
In Chapter 6, we propose a Local Support Vector Regression Model to include the local information of data. In this chapter, we consider another extension of the Support Vector Regression (SVR) which also includes the local information of data for a specif
- PDF / 2,283,914 Bytes
- 172 Pages / 439.314 x 666.252 pts Page_size
- 38 Downloads / 179 Views
ADVANCED TOPICS IN SCIENCE AND TECHNOLOGY IN CHINA Zhejiang University is one of the leading universities in China. In Advanced Topics in Science and Technology in China, Zhejiang University Press and Springer jointly publish monographs by Chinese scholars and professors, as well as invited authors and editors from abroad who are outstanding experts and scholars in their fields. This series will be of interest to researchers, lecturers, and graduate students alike. Advanced Topics in Science and Technology in China aims to present the latest and most cutting-edge theories, techniques, and methodologies in various research areas in China. It covers all disciplines in the fields of natural science and technology, including but not limited to, computer science, materials science, life sciences, engineering, environmental sciences, mathematics, and physics.
Kaizhu Huang Haiqin Yang Irwin King Michael Lyu
Machine Learning Modeling Data Locally and Globally
With 53 figures
AUTHORS: Dr. Kaizhu Huang, Dept. of CSE, Chinese Univ. of Hong Kong, Shatin. N.T. HK, China Email: [email protected]
Dr. Haiqin Yang, Dept. of CSE, Chinese Univ. of Hong Kong, Shatin. N.T. HK, China Email:[email protected]
Prof. Irwin King, Dept. of CSE, Chinese Univ. of Hong Kong, Shatin. N.T. HK, China Email: [email protected]
Dr. Michael Lyu, Dept. of CSE, Chinese Univ. of Hong Kong, Shatin. N.T. HK, China Email:[email protected]
ISBN 978-7-308-05831-5 Zhejiang University Press, Hangzhou ISBN 978-3-540-79451-6 Springer Berlin Heidelberg New York e-ISBN 978-3-540-79452-3 Springer Berlin Heidelberg New York Series ISSN 1995-6819 Advanced topics in science and technology in China Series e-ISSN 1995-6827 Advanced topics in science and technology in China Library of Congress Control Number : 2008925536 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer-Verlag. Violations are liable to prosecution under the German Copyright Law. c 2008 Zhejiang University Press, Hangzhou and Springer-Verlag GmbH Berlin Heidelberg Co-published by Zhejiang University Press, Hangzhou and SpringerVerlag GmbH Berlin Heidelberg Springer is a part of Springer Science+Business Media springer.com The use of general descriptive names, registered names, trademarks, 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. Cover design: Joe Piliero, Springer Science + Business Media LLC, New York Printed on acid-free paper
Preface
Machine Learning: Modeling Data Lo
Data Loading...
