564 search results - page 28 / 113 » Approximation algorithms for restricted Bayesian network str... |
134
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UAI
1996
15 years 3 months ago
1996
Bayesiannetworks provide a languagefor qualitatively representing the conditional independence properties of a distribution. This allows a natural and compact representation of th...
132
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CORR
2010
Springer
15 years 1 months ago
2010
Springer
Abstract—This paper studies the problem of distributed computation over a network of wireless sensors. While this problem applies to many emerging applications, to keep our discu...
116
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AAAI
2007
15 years 4 months ago
2007
Since Bayesian network (BN) was introduced in the field of artificial intelligence in 1980s, a number of inference algorithms have been developed for probabilistic reasoning. Ho...
126
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UAI
2000
15 years 3 months ago
2000
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
125
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IJAR
2010
15 years 29 days ago
2010
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...