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9783319343297

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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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