2868 search results - page 23 / 574 » Inference in Bayesian Networks |
KDD
2005
ACM
16 years 2 months ago
2005
ACM
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
126
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SUM
2009
Springer
15 years 8 months ago
2009
Springer
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
115
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CDC
2009
IEEE
15 years 6 months ago
2009
IEEE
— Bayesian networks have extensively been used in numerous fields including artificial intelligence, decision theory and control. Its ability to utilize noisy and missing data ...
126
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UAI
2008
15 years 3 months ago
2008
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
102
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UAI
2004
15 years 3 months ago
2004
We characterize probabilities in Bayesian networks in terms of algebraic expressions called quasi-probabilities. These are arrived at by casting Bayesian networks as noisy AND-OR-...