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  1. Making up the shortages of the Bayes classifier by the maximum mutual information classifier
  2. Two measures for confirmation to resolve the problems with the medical test and the Raven Paradox
  3. Semantic Information G Theory and Logical Bayesian Inference for Machine Learning
  4. Semantic channel and Shannon channel mutually match and iterate for mixture models
  5. A semantic information theory combining Shannon'sinformation theory and likelihood method