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algorithmとclassifierに関するIanLewisのブックマーク (1)

  • Naive Bayes classifier - Wikipedia

    Example of a naive Bayes classifier depicted as a Bayesian Network In statistics, naive Bayes classifiers are a family of linear "probabilistic classifiers" which assumes that the features are conditionally independent, given the target class. The strength (naivety) of this assumption is what gives the classifier its name. These classifiers are among the simplest Bayesian network models.[1] Naive

    Naive Bayes classifier - Wikipedia
    IanLewis
    IanLewis 2010/01/18
    A Bayes classifier is a simple probabilistic classifier based on applying Bayes' theorem (from Bayesian statistics) with strong (naive) independence assumptions. A more descriptive term for the underlying probability model would be "independent feature model".
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