books.google.com - The Support Vector Machine is a powerful new learning algorithm for solving a variety of learning and function estimation problems, such as pattern recognition, regression estimation, and operator inversion. The impetus for this collection was a workshop on Support Vector Machines held at the 1997 NIPS...http://books.google.com/books/about/Advances_in_Kernel_Methods.html?id=_NYamXKkNM8C&q=random&utm_source=gb-gplus-shareAdvances in Kernel Methods

No eBook available
## Advances in Kernel Methods: Support Vector Learningedited by Bernhard Schölkopf, Christopher J. C. Burges, Alexander J. Smola |