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LW-ELM: A Fast and Flexible Cost-Sensitive Learning Framework for Classifying Imbalanced Data.

Hualong YuChangyin SunXibei YangShang ZhengQi WangXiaoyan Xi
Published in: IEEE Access (2018)
Keyphrases
  • cost sensitive learning
  • imbalanced data
  • cost sensitive
  • class distribution
  • class imbalance
  • neural network
  • decision trees
  • misclassification costs
  • feature selection
  • bayesian networks
  • minority class