Learning Theory and Kernel Machines Lecture Notes in Artificial Intelligence

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.

Learning Theory and Kernel Machines Lecture Notes in Artificial Intelligence features in the following genres: Artificial intelligence, Algorithms and data structures, Mathematical theory of computation

Learning Theory and Kernel Machines Lecture Notes in Artificial Intelligence is available in Paperback

Learning Theory and Kernel Machines Lecture Notes in Artificial Intelligence was written by Bernhard Schölkopf, Manfred K Warmuth and published by Springer an imprint of Springer Berlin Heidelberg

Learning Theory and Kernel Machines Lecture Notes in Artificial Intelligence has 754 pages

Yes it is part of Lecture Notes in Computer Science series