Support Vector Machines for Pattern Classification

• Main Author: Abe, Shigeo (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2010.
• Series: Advances in Pattern Recognition,
• Subjects: Engineering.; Artificial intelligence.; Text processing (Computer science).; Pattern recognition.; Control engineering.; Robotics.; Mechatronics.; Control.; Pattern Recognition.; Document Preparation and Text Processing.; Artificial Intelligence (incl. Robotics).; Control, Robotics, Mechatronics.

Originally formulated for two-class classification problems, support vector machines (SVMs) are now accepted as powerful tools for developing pattern classification and function approximation systems. Recent developments in kernel-based methods include kernel classifiers and regressors and their var...