Computers / Artificial Intelligence / Belief Networks /

Bayesian networks are used to show and calculate the effects of pieces of knowledge on each other. They are strongly related to expert systems, but use probability theory to calculate those effects and can therefore easily deal with problems like uncertainty and missing data.

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Association for Uncertainty in Artificial Intelligence

Association for Uncertainty in Artificial IntelligenceMain association for belief network researchers. Runs the annual Uncertainty in Artificial Intelligence (UAI) conferences, and the UAI mailing list.

6
2,390,842
NA
508,000
10
1

B-Course - Dependence and classification modeling

B-Course - Dependence and classification modelingA free, interactive tutorial on Bayesian modeling, in particular dependence and classification modeling.

5
12,169
NA
750
207
59

Belief Revision

Belief RevisionSoftware, publications, teaching material, and news on belief revision - from the Business and Technology Research Laboratory at the University of Newcastle, Australia

4
NA
NA
1,640
1,720
NA

Daphne's Approximate Group of Students (DAGS)

Daphne's Approximate Group of Students (DAGS)Daphne Koller's research group on probabilistic representation, reasoning, and learning at Stanford University

5
1,475
NA
88,500
375
1

1

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