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 Computers » Artificial Intelligence » Belief Networks


Conferences and Events (3) Projects and Systems (7) Software (26)

 Web Pages    1 - 10   of   13

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


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Daphne Koller's research group on probabilistic representation, reasoning, and learning at Stanford University


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Kevin Murphy's tutorial, including a recommended reading list.


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 4 - Belief Revision Browse Website open in new window
Software, publications, teaching material, and news on belief revision - from the Business and Technology Research Laboratory at the University of Newcastle, Australia


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Research group at the University of Pittsburgh with links to books and software on probabilistic, decision-theoretic, and econometric graphical models


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A free, interactive tutorial on Bayesian modeling, in particular dependence and classification modeling.


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Slides and additional notes from a tutorial by Nir Friedman and Daphne Koller on automated learning of belief networks, given at the Neural Information Processing Systems (NIPS-2001) conference


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Briefing document with a short survey of Bayesian statistics


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Paper about combining probabilistic models and human-intuitive approaches to modeling uncertainty by generating qualitative verbal explanations of reasoning.


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A survey and tutorial by Daryle Niedermayer - covers material on Bayesian inference in general and selected industrial applications of graphical models


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