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Advances in Computer Vision and Pattern Recognition

Support Vector Machines for Pattern Classification

Authors: Abe, Shigeo

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  • ISBN 978-1-84628-219-5
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About this book

I was shocked to see a student’s report on performance comparisons between support vector machines (SVMs) and fuzzy classi?ers that we had developed withourbestendeavors.Classi?cationperformanceofourfuzzyclassi?erswas comparable, but in most cases inferior, to that of support vector machines. This tendency was especially evident when the numbers of class data were small. I shifted my research e?orts from developing fuzzy classi?ers with high generalization ability to developing support vector machine–based classi?ers. This book focuses on the application of support vector machines to p- tern classi?cation. Speci?cally, we discuss the properties of support vector machines that are useful for pattern classi?cation applications, several m- ticlass models, and variants of support vector machines. To clarify their - plicability to real-world problems, we compare performance of most models discussed in the book using real-world benchmark data. Readers interested in the theoretical aspect of support vector machines should refer to books such as [109, 215, 256, 257].

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)


Table of contents (3 chapters)

Buy this book

eBook $89.00
price for USA
  • ISBN 978-1-84628-219-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
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Bibliographic Information

Bibliographic Information
Book Title
Support Vector Machines for Pattern Classification
Authors
Series Title
Advances in Computer Vision and Pattern Recognition
Copyright
2005
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-84628-219-5
DOI
10.1007/1-84628-219-5
Series ISSN
2191-6586
Edition Number
1
Number of Pages
XIV, 344
Number of Illustrations and Tables
110 b/w illustrations
Topics