49 search results - page 5 / 10 » Exact model averaging with naive Bayesian classifiers |
KDD
1998
ACM
13 years 11 months ago
1998
ACM
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
IJAR
2010
13 years 4 months ago
2010
In this paper we present TANC, i.e., a tree-augmented naive credal classifier based on imprecise probabilities; it models prior near-ignorance via the Extreme Imprecise Dirichlet ...
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
Hard disk drive failures are rare but are often costly. The ability to predict failures is important to consumers, drive manufacturers, and computer system manufacturers alike. In...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
ICML
1998
IEEE
14 years 8 months ago
1998
IEEE
In a recent paper, Friedman, Geiger, and Goldszmidt [8] introduced a classifier based on Bayesian networks, called Tree Augmented Naive Bayes (TAN), that outperforms naive Bayes a...