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Comparison between various regression depth methods and the support vector machine to approximate the minimum number of misclassifications.

Andreas ChristmannPaul FischerThorsten Joachims
Published in: Comput. Stat. (2002)
Keyphrases
  • support vector machine
  • multi class
  • small number
  • simple linear
  • computational cost
  • empirical studies
  • feature selection
  • feature space
  • significant improvement
  • missing values
  • constant factor