VC Theory of Large Margin Multi-Category Classifiers

  title={VC Theory of Large Margin Multi-Category Classifiers},
  author={Yann Guermeur},
  journal={Journal of Machine Learning Research},
  • Yann Guermeur
  • Published 2007 in Journal of Machine Learning Research
In the context of discriminant analysis, Vapnik’s statistical learning theory has mainly been developed in three directions: the computation of dichotomies with binary-valued functions, the computation of dichotomies with real-valued functions, and the computation of polytomies with functions taking their values in finite sets, typically the set of categories itself. The case of classes of vectorvalued functions used to compute polytomies has seldom been considered independently, which is… CONTINUE READING
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