Learning Theory and Kernel Machines
Download or Read eBook Learning Theory and Kernel Machines PDF written by Bernhard Schölkopf and published by Springer. This book was released on 2003-11-11 with total page 761 pages. Available in PDF, EPUB and Kindle.
Author | : Bernhard Schölkopf |
Publisher | : Springer |
Total Pages | : 761 |
Release | : 2003-11-11 |
ISBN-10 | : 9783540451679 |
ISBN-13 | : 3540451676 |
Rating | : 4/5 (79 Downloads) |
Book Synopsis Learning Theory and Kernel Machines by : Bernhard Schölkopf
Book excerpt: This book constitutes the joint refereed proceedings of the 16th Annual Conference on Computational Learning Theory, COLT 2003, and the 7th Kernel Workshop, Kernel 2003, held in Washington, DC in August 2003. The 47 revised full papers presented together with 5 invited contributions and 8 open problem statements were carefully reviewed and selected from 92 submissions. The papers are organized in topical sections on kernel machines, statistical learning theory, online learning, other approaches, and inductive inference learning.