Support Vector Machines Applications

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ma, Yunqian (Editor), Guo, Guodong (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Subjects: Engineering.; Computer organization.; Computer communication systems.; Computational intelligence.; Complexity, Computational.; Electrical engineering.; Signal, Image and Speech Processing.; Computer Communication Networks.; Complexity.; Computational Intelligence.; Computer Systems Organization and Communication Networks.; Communications Engineering, Networks.
• Physical Description: VII, 302 p. 87 illus., 56 illus. in color. online resource.
• ISBN: 9783319023007

Support vector machines (SVM) have both a solid mathematical background and good performance in practical applications. This book focuses on the recent advances and applications of the SVM in different areas, such as image processing, medical practice, computer vision, pattern recognition, machine learning, applied statistics, business intelligence, and artificial intelligence. The aim of this book is to create a comprehensive source on support vector machine applications, especially some recent advances.