Bayesian Network Classifiers. Friedman, N., Geiger, D., & Goldszmidt, M. Machine learning, 29:131-163, 1997.
Bayesian Network Classifiers [link]Website  abstract   bibtex   
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competitive with state-of-the-art classifiers such as C4. 5. This fact raises the question of ...
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 title = {Bayesian Network Classifiers},
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 year = {1997},
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 pages = {131-163},
 volume = {29},
 websites = {http://dx.doi.org/10.1023/A:1007465528199%5Cnpapers2://publication/doi/10.1023/A:1007465528199},
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 abstract = {Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competitive with state-of-the-art classifiers such as C4. 5. This fact raises the question of ...},
 bibtype = {article},
 author = {Friedman, Nir and Geiger, Dan and Goldszmidt, Moises},
 journal = {Machine learning}
}

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