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» Building Classifiers Using Bayesian Networks
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ICML
2004
IEEE
14 years 11 months ago
Learning Bayesian network classifiers by maximizing conditional likelihood
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
Daniel Grossman, Pedro Domingos
PRL
2002
102views more  PRL 2002»
13 years 10 months ago
Face detection by aggregated Bayesian network classifiers
A face detection system is presented. A new classification method using forest-structured Bayesian networks is used. The method is used in an aggregated classifier to discriminate...
Thang V. Pham, Marcel Worring, Arnold W. M. Smeuld...
SOCIALCOM
2010
13 years 8 months ago
Building Mobile Social Network with Semantic Relation Using Bayesian NeTwork-based Life-log Mining
Mobile devices such as cell phone, PDA and smart phone have been so popularized that they are to be a necessity for everyday life. These mobile devices can be very useful tools to ...
Han-Saem Park, Sung-Bae Cho
ICML
2006
IEEE
14 years 11 months ago
Using query-specific variance estimates to combine Bayesian classifiers
Many of today's best classification results are obtained by combining the responses of a set of base classifiers to produce an answer for the query. This paper explores a nov...
Chi-Hoon Lee, Russell Greiner, Shaojun Wang
ITRE
2005
IEEE
14 years 3 months ago
Structure learning of Bayesian networks using a semantic genetic algorithm-based approach
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
Sachin Shetty, Min Song