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Efficient SVDD sampling with approximation guarantees for the decision boundary.

Adrian EnglhardtHolger TrittenbachDaniel KottkeBernhard SickKlemens Böhm
Published in: Mach. Learn. (2022)
Keyphrases
  • decision boundary
  • data points
  • pattern classification
  • approximation guarantees
  • sample size
  • hyperplane
  • objective function
  • support vector
  • np hard
  • upper bound
  • worst case
  • image classification
  • approximation algorithms