On Discriminative Bayesian Network Classifiers and Logistic Regression.
Discriminative learning of the parameters in the naive Bayes model is known to be equivalent to a logistic regression problem. Here we show that the same fact holds for much more general Bayesian network models, as long as the corresponding network structure satisfies a certain graph-theoretic prope...
| Publicado en: | Machine learning. 59, 3 (2005). |
|---|---|
| Autor principal: | |
| Formato: | Artículo |
| Lenguaje: | English |
| Materias: |