Learning Limited Dependence Bayesian Classifiers

  title={Learning Limited Dependence Bayesian Classifiers},
  author={Mehran Sahami},
We present a framework for characterizing Bayesian classi cation methods. This framework can be thought of as a spectrum of allowable dependence in a given probabilistic model with the Naive Bayes algorithm at the most restrictive end and the learning of full Bayesian networks at the most general extreme. While much work has been carried out along the two ends of this spectrum, there has been surprising little done along the middle. We analyze the assumptions made as one moves along this… CONTINUE READING
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