85 search results - page 11 / 17 » Naive Bayesian Classifiers for Ranking |
ICML
2001
IEEE
14 years 9 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...
WILF
2005
Springer
14 years 2 months ago
2005
Springer
Computing methods that allow the efficient and accurate processing of experimentally gathered data play a crucial role in biological research. The aim of this paper is to present a...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
KDD
2002
ACM
14 years 9 months ago
2002
ACM
Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decisi...
ICML
1998
IEEE
14 years 9 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...