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The Positive Effects of Negative Information: Extending One-Class Classification Models in Binary Proteomic Sequence Classification.

Stefan MutterBernhard PfahringerGeoffrey Holmes
Published in: Australasian Conference on Artificial Intelligence (2009)
Keyphrases
  • classification models
  • positive effects
  • training data
  • machine learning
  • neural network
  • prior knowledge
  • information extraction
  • sequence data
  • factors that affect
  • sequence classification