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a posteriori probabilityの例文

例文モバイル版携帯版

  • The goal is then to select the class with maximum a posteriori probability, by considering the ratio
  • Equation for f ( m | n ) looks like the Bayes formula for a posteriori probabilities; if l ( n | m ) in the result of learning become conditional likelihoods, f ( m | n ) become Bayesian probabilities for signal n originating from object m.