eBook, PDF

Support Vector Machines Applications (eBook, PDF)

Beschreibung

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.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 8.36MB

Barrierefreiheit

• Text-to-Speech

Autor

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

Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 302
• Erscheinungstermin: 12. Februar 2014
• Englisch
• ISBN-13: 9783319023007
• Artikelnr.: 43798397

Rezensionen

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)