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OverviewSupport 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 DetailsAuthor: Yunqian Ma , Guodong GuoPublisher: 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: 9783319022994ISBN 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 ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsFrom 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 InformationYunqian Ma is Senior Principal Research Scientist at Honeywell Labs. Guodong Guo is an Assistant Professor at West Virginia University. Tab Content 6Author Website:Countries AvailableAll regions |