1355 search results - page 32 / 271 » Bayesian networks |
154
Voted
EAAI
2010
14 years 10 months ago
2010
The purpose of this article is to present a method for industrial process diagnosis with Bayesian network, and more particularly with Conditional Gaussian Network (CGN). The inter...
148
Voted
ISMIS
1994
Springer
15 years 7 months ago
1994
Springer
Main stream approaches in distributed artificial intelligence (DAI) are essentially logic-based. Little has been reported to explore probabilistic approach in DAI. On the other han...
135
Voted
AI
2002
Springer
15 years 3 months ago
2002
Springer
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
157
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ICDM
2007
IEEE
15 years 10 months ago
2007
IEEE
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
130
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ETFA
2006
IEEE
15 years 9 months ago
2006
IEEE
Multiplysectioned Bayesian networks provide a probabilistic framework for reasoning about uncertain domains in cooperative multiagent systems. Several advances have been made in r...