Support Vector Machines Applications

Author:   Yunqian Ma ,  Guodong Guo
Publisher:   Springer International Publishing AG
Edition:   2014 ed.
ISBN:  

9783319022994


Pages:   302
Publication Date:   03 March 2014
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Support Vector Machines Applications


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Overview

Support vector machines (SVM) have both a solid mathematical background and practical applications. This book focuses on the recent advances and applications of the SVM, such as image processing, medical practice, computer vision, and pattern recognition, machine learning, applied statistics, and artificial intelligence. The aim of this book is to create a comprehensive source on support vector machine applications.

Full Product Details

Author:   Yunqian Ma ,  Guodong Guo
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2014 ed.
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   0.659kg
ISBN:  

9783319022994


ISBN 10:   3319022997
Pages:   302
Publication Date:   03 March 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

From the book reviews: The book brings substantial contributions to the field of SVMs from both theoretical and practical points of view. The concepts and methods are presented in a clear and accessible way, and the illustrative examples and applications provide a valuable source of inspiration for similar developments. ... This book is of considerable value to researchers in the fields of machine learning, data mining, and statistical pattern recognition. (L. State, Computing Reviews, August, 2014)


From the book reviews: The book brings substantial contributions to the field of SVMs from both theoretical and practical points of view. The concepts and methods are presented in a clear and accessible way, and the illustrative examples and applications provide a valuable source of inspiration for similar developments. ... This book is of considerable value to researchers in the fields of machine learning, data mining, and statistical pattern recognition. (L. State, Computing Reviews, August, 2014)


From the book reviews: The book brings substantial contributions to the field of SVMs from both theoretical and practical points of view. The concepts and methods are presented in a clear and accessible way, and the illustrative examples and applications provide a valuable source of inspiration for similar developments. ... This book is of considerable value to researchers in the fields of machine learning, data mining, and statistical pattern recognition. (L. State, Computing Reviews, August, 2014)


Author Information

Yunqian Ma is Senior Principal Research Scientist at Honeywell Labs. Guodong Guo is an Assistant Professor at West Virginia University.

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