Learning Theory And Kernel Machines
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Learning with Kernels
A comprehensive introduction to Support Vector Machines and related kernel methods.
Learning Theory and Kernel Machines
Author: Bernhard Schoelkopf
language: en
Publisher: Springer Science & Business Media
Release Date: 2003-08-11
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.
Kernel Methods and Machine Learning
Author: S. Y. Kung
language: en
Publisher: Cambridge University Press
Release Date: 2014-04-17
Covering the fundamentals of kernel-based learning theory, this is an essential resource for graduate students and professionals in computer science.