On the annealed VC entropy for margin classifiers: A statistical mechanics study

Manfred Opper

Research output: Chapter in Book/Published conference outputChapter

Abstract

Using techniques from Statistical Physics, the annealed VC entropy for hyperplanes in high dimensional spaces is calculated as a function of the margin for a spherical Gaussian distribution of inputs.
Original languageEnglish
Title of host publicationAdvances in Kernel Methods - Support vector learning
EditorsBernhard Scholkopf, Christopher J. C. Burges, Alexander J. Smola
Place of PublicationCambridge, MA
PublisherMIT
Pages117-126
Number of pages10
ISBN (Print)0262194163
Publication statusPublished - 18 Dec 1998

Bibliographical note

Copyright of the Massachusetts Institute of Technology Press (MIT Press) Available in Google Books

Keywords

  • annealed VC entropy
  • hyperplanes
  • high dimensional spaces
  • spherical Gaussian distribution

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