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

9781447125488


Pages:   473
Publication Date:   04 May 2012
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $448.77 Quantity:  
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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:   Softcover reprint of hardcover 2nd ed. 2010
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   0.747kg
ISBN:  

9781447125488


ISBN 10:   1447125487
Pages:   473
Publication Date:   04 May 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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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