Learning Theory and Kernel Machines

Released on by Bernhard Schölkopf
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  • Learning Theory and Kernel Machines Book Detail

  • Author : Bernhard Schölkopf
  • Release Date : 2003-11-11
  • Publisher : Springer
  • Genre : Computers
  • Pages : 761
  • ISBN 13 : 3540451676
  • File Size : 30,30 MB
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Learning Theory and Kernel Machines by Bernhard Schölkopf PDF Summary

Book Description: 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.

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