Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers.
In a naive Bayesian classifier, discrete variables as well as discretized continuous variables are assumed to have Dirichlet priors. This paper describes the implications and applications of this model selection choice. We start by reviewing key properties of Dirichlet distributions. Among these pro...
| Publicado no: | Machine learning. 53, 3 (2003). |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | English |
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