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Sets of approximating functions with finite Vapnik-Chervonenkis dimension for nearest-neighbors algorithms.

Przemyslaw KleskMarcin Korzen
Published in: Pattern Recognit. Lett. (2011)
Keyphrases
  • nearest neighbor
  • vapnik chervonenkis dimension
  • theoretical analysis
  • learning algorithm
  • computational complexity
  • machine learning algorithms
  • data sets
  • knn
  • k nearest neighbor