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An approximated decision-theoretic algorithm for minimization of the Tversky loss under the multi-label framework.

Pawel TrajdosMarek Kurzynski
Published in: Pattern Anal. Appl. (2019)
Keyphrases
  • multi label
  • decision theoretic
  • learning algorithm
  • expectation maximization
  • probabilistic model
  • text categorization
  • similarity measure
  • classification algorithm
  • neural network
  • machine learning