@inproceedings{3bea86ba418c4fffb951d61eb0bdaa4e,
title = "The stability of a restricted bayesian network: An empirical investigation",
abstract = "The stability is an important criterion of evaluating classification algorithms. Bayesian network classifier is one of the most popular classification methods, however, its stability is rarely studied. Tree Augmented Naive Bayes(TAN), and a restricted Bayesian network, have demonstrated stronger whole performance than the other Bayesian classification methods. The purpose of this paper is to study the stability of TAN. Bayesian network classification method and TAN model are firstly introduced, and then an empirical investigation comparing the stability of several typical classification approaches (decision tree, naive Bayes) with TAN are detailedly described. Experimental results show that Tree Augmented Naive Bayes network classifier is stable.",
keywords = "Bayesian network, Stability, TAN, Variance",
author = "Shi, \{Hong Bo\} and Huang, \{Hou Kuan\} and Wang, \{Zhi Hai\}",
year = "2003",
language = "英语",
isbn = "0780378652",
series = "International Conference on Machine Learning and Cybernetics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "345--349",
booktitle = "2003 International Conference on Machine Learning and Cybernetics, ICMLC 2003",
address = "美国",
note = "2nd International Conference on Machine Learning and Cybernetics, ICMLC 2003 ; Conference date: 02-11-2003 Through 05-11-2003",
}