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» Boosted Bayesian network classifiers
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FLAIRS
2006
14 years 8 days ago
A Hybrid Generative/Discriminative Bayesian Classifier
In this paper, we introduce a new restricted Bayesian network classifier that extends naive Bayes by relaxing the conditional independence assumptions, and show that it is partly ...
Changsung Kang, Jin Tian
FLAIRS
2008
14 years 1 months ago
One-Pass Learning Algorithm for Fast Recovery of Bayesian Network
An efficient framework is proposed for the fast recovery of Bayesian network classifier. A novel algorithm, called Iterative Parent-Child learningBayesian Network Classifier (IPC-...
Shunkai Fu, Michel Desmarais, Fan Li
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
ICPR
2004
IEEE
14 years 12 months ago
Skin Detection: A Bayesian Network Approach
The automated detection and tracking of humans in computer vision necessitates improved modeling of the human skin appearance. In this paper we propose a Bayesian network approach...
Ira Cohen, Nicu Sebe, Theo Gevers, Thomas S. Huang
FLAIRS
2000
14 years 7 days ago
Inferencing Bayesian Networks from Time Series Data Using Natural Selection
This paper describes a new framework for using natural selection to evolve Bayesian Networks for use in forecasting time series data. It extends current research by introducing a ...
Andrew J. Novobilski, Farhad Kamangar