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Learning from Imbalanced Data in Presence of Noisy and Borderline Examples.

Krystyna NapieralaJerzy StefanowskiSzymon Wilk
Published in: RSCTC (2010)
Keyphrases
  • learning from imbalanced data
  • imbalanced datasets
  • noisy data
  • training examples
  • random forest
  • data sets
  • feature selection
  • multi class