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Support vector machines for pattern classification

Author: Shigeo Abe
Publisher: London : Springer, ©2005.
Series: Advances in pattern recognition.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
Support vector machines (SVMs), were originally formulated for two-class classification problems, and have been accepted as a powerful tool for developing pattern classification and function approximations systems. This book provides a unique perspective of the state of the art in SVMs by taking the only approach that focuses on classification rather than covering the theoretical aspects. The book clarifies the  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Abe, Shigeo, 1947-
Support vector machines for pattern classification.
London : Springer, ©2005
(DLC) 2005040265
(OCoLC)57475934
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Shigeo Abe
ISBN: 1852339292 9781852339296 1846282195 9781846282195
OCLC Number: 65196441
Description: 1 online resource (xiv, 343 pages) : illustrations.
Contents: Two-class support vector machines --
Multiclass support vector machines --
Variants of support vector machines --
Training methods --
Feature selection and extraction --
Clustering --
Kernel-based methods --
Maximum-margin multilayer neural networks --
Maximum-margin fuzzy classifiers --
Function approximation --
Conventional classifiers --
Matrices --
Quadratic programming --
Positive semidefinite kernels and reproducing kernel Hilbert space.
Series Title: Advances in pattern recognition.
Responsibility: Shigeo Abe.
More information:

Abstract:

Support Vector Machines are popular because of their high classification importance; this book focuses on the discussions on SVMs specifically to pattern classification.  Read more...

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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 Read more...

 
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