
Broschiertes Buch
Support Vector Machines Applications
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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.
Yunqian Ma is Senior Principal Research Scientist at Honeywell Labs. Guodong Guo is an Assistant Professor at West Virginia University.
Produktbeschreibung
- Verlag: Springer / Springer International Publishing / Springer, Berlin
- Artikelnr. des Verlages: 978-3-319-34329-7
- Softcover reprint of the original 1st ed. 2014
- Seitenzahl: 312
- Erscheinungstermin: 3. September 2016
- Englisch
- Abmessung: 235mm x 155mm x 16mm
- Gewicht: 533g
- ISBN-13: 9783319343297
- ISBN-10: 3319343297
- Artikelnr.: 45645468
Herstellerkennzeichnung
Springer-Verlag GmbH
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69121 Heidelberg
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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)
"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)
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