Support Vector Machines for Pattern Classification
Author:   Shigeo Abe
Publisher:   Springer London Ltd
Edition:   2nd ed. 2010
ISBN:  

9781849960977


Pages:   473
Publication Date:   29 March 2010
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Support Vector Machines for Pattern Classification


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Full Product Details

Author:   Shigeo Abe
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   2nd ed. 2010
Dimensions:   Width: 15.50cm , Height: 2.60cm , Length: 23.50cm
Weight:   1.900kg
ISBN:  

9781849960977


ISBN 10:   1849960976
Pages:   473
Publication Date:   29 March 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Two-Class Support Vector Machines.- Multiclass Support Vector Machines.- Variants of Support Vector Machines.- Training Methods.- Kernel-Based Methods Kernel@Kernel-based method .- Feature Selection and Extraction.- Clustering.- Maximum-Margin Multilayer Neural Networks.- Maximum-Margin Fuzzy Classifiers.- Function Approximation.

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)


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)


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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