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An investigation into the effects of label noise on Dynamic Selection algorithms.

Felipe N. WalmsleyGeorge D. C. CavalcantiRobert SabourinRafael M. O. Cruz
Published in: Inf. Fusion (2022)
Keyphrases
  • theoretical analysis
  • label noise
  • learning algorithm
  • evolutionary algorithm
  • machine learning algorithms
  • data sets
  • training data
  • worst case
  • optimization procedure