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» Learning Dynamic Bayesian Networks
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ICML
2003
IEEE
16 years 17 days ago
Bayesian Network Anomaly Pattern Detection for Disease Outbreaks
Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper...
119
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ICML
2010
IEEE
15 years 25 days ago
Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
Tobias Lang, Marc Toussaint
ICML
2004
IEEE
16 years 17 days 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
JMLR
2010
125views more  JMLR 2010»
14 years 6 months ago
Continuous Time Bayesian Network Reasoning and Learning Engine
We present a continuous time Bayesian network reasoning and learning engine (CTBN-RLE). A continuous time Bayesian network (CTBN) provides a compact (factored) description of a co...
Christian R. Shelton, Yu Fan, William Lam, Joon Le...