Support Vector Machines for Pattern Classification
$475.15
- Paperback
473 pages
- Release Date
4 May 2012
Summary
A guide on the use of SVMs in pattern classification, including a rigorous performance comparison of classifiers and regressors. The book presents architectures for multiclass classification and function approximation problems, as well as evaluation criteria for classifiers and regressors. Features: Clarifies the characteristics of two-class SVMs; Discusses kernel methods for improving the generalization ability of neural networks and fuzzy systems; Contains ample illustrations and example…
Book Details
| ISBN-13: | 9781447125488 |
|---|---|
| ISBN-10: | 1447125487 |
| Author: | Shigeo Abe |
| Publisher: | Springer London Ltd |
| Imprint: | Springer London Ltd |
| Format: | Paperback |
| Number of Pages: | 473 |
| Edition: | 2nd |
| Release Date: | 4 May 2012 |
| Weight: | 680g |
| Dimensions: | 235mm x 155mm |
| Series: | Advances in Computer Vision and Pattern Recognition |
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Critics Review
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)
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