Christopher J.C. Burges

Books by this Editor

Advances in Kernel Methods
Support Vector Learning
Edited By Christopher J.C. Burges, Bernhard Schölkopf, Alexander J. Smola
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 conference. The contributors, both university researchers and engineers developing applications...