Support Vector Machines Applications Hardback
Edited by Yunqian Ma, Guodong Guo
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.
- Format: Hardback
- Pages: 302 pages, 37 Tables, black and white; 56 Illustrations, color; 31 Illustrations, black and white; V
- Publisher: Springer International Publishing AG
- Publication Date: 12/02/2014
- Category: Machine learning
- ISBN: 9783319022994