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    ICML
    1998
    IEEE
    229views Machine Learning» more  ICML 1998»
    Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting
    14 years 5 months ago
    Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting
    Download  robotics.stanford.edu
    In a recent paper, Friedman, Geiger, and Goldszmidt [8] introduced a classifier based on Bayesian networks, called Tree Augmented Naive Bayes (TAN), that outperforms naive Bayes a...
    Moisés Goldszmidt, Nir Friedman, Thomas J. ...
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