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...
| 出版年: | Machine learning. 59, 3 (2005). |
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| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | English |
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