Hier werden naive Bayes-Netzwerke grundlegend definiert und bereits mit bayesschen Netzwerken verglichen.
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%0 Conference Paper
%1 lowd2005naive
%A Lowd, Daniel
%A Domingos, Pedro
%B Proceedings of the 22nd international conference on Machine learning
%D 2005
%K
%P 529--536
%T Naive Bayes models for probability estimation
@inproceedings{lowd2005naive,
added-at = {2013-06-11T23:10:39.000+0200},
author = {Lowd, Daniel and Domingos, Pedro},
biburl = {https://www.bibsonomy.org/bibtex/2d98f4b5db5f8c24efbbd610e2f6c2ed1/haeussner},
booktitle = {Proceedings of the 22nd international conference on Machine learning},
interhash = {5b3f68b47cae09bf2426ea8414da0501},
intrahash = {d98f4b5db5f8c24efbbd610e2f6c2ed1},
keywords = {},
organization = {ACM},
pages = {529--536},
timestamp = {2013-06-11T23:10:39.000+0200},
title = {Naive Bayes models for probability estimation},
year = 2005
}