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Table of contents (11 chapters)
Reviews
From the reviews:
"This broad and deep … book is organized around the highly significant concept of pattern recognition by support vector machines (SVMs). … The book is praxis and application oriented but with strong theoretical backing and support. Many … details are presented and discussed, thereby making the SVM both an easy-to-understand learning machine and a more likable data modeling (mining) tool. Shigeo Abe has produced the book that will become the standard … . I like it and therefore highly recommend this book … ." (Vojislav Kecman, SIAM Review, Vol. 48 (2), 2006)
Authors and Affiliations
Bibliographic Information
Book Title: Support Vector Machines for Pattern Classification
Authors: Shigeo Abe
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/1-84628-219-5
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2005
eBook ISBN: 978-1-84628-219-5Published: 28 December 2005
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XIV, 344
Number of Illustrations: 110 b/w illustrations
Topics: Pattern Recognition, Natural Language Processing (NLP), Artificial Intelligence, Control, Robotics, Mechatronics