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» Object-Oriented Bayesian Networks
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116
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IJCAI
2007
15 years 1 months ago
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
121
Voted
ML
2008
ACM
222views Machine Learning» more  ML 2008»
15 years 14 days ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
98
Voted
ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 14 days ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
UAI
2004
15 years 1 months ago
Bayesian Biosurveillance of Disease Outbreaks
Early, reliable detection of disease outbreaks is a critical problem today. This paper reports an investigation of the use of causal Bayesian networks to model spatio-temporal pat...
Gregory F. Cooper, Denver Dash, John Levander, Wen...
86
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SENSYS
2005
ACM
15 years 6 months ago
Bayesian localization in wireless networks using angle of arrival
Eiman Elnahrawy, John-Austen Francisco, Richard P....