Support Vector Machines Applications

Support Vector Machines Applications
Author: Yunqian Ma
Publisher: Springer Science & Business Media
Total Pages: 306
Release: 2014-02-12
Genre: Technology & Engineering
ISBN: 3319023004


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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.