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Belief Networks (Subscribe)



Query DAGs: A Practical Paradigm for Implementing Belief-Network Inference

Article published in JAIR (Journal of AI Research) about a way to implement belief networks by compiling networks into arithmetic expressions and then answering queries using an evaluation algorithm.

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Qualitative Verbal Explanations in Bayesian Belief Networks

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

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Learning Bayesian Networks from Data

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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Decision Systems Lab (DSL)

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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Daphne's Approximate Group of Students (DAGS)

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

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Belief Revision

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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Belief Networks and Variational Methods : Amos Storkey

Dynamic Trees are mixtures of tree structured belief networks, and are used as models for image segmentation and tracking.

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B-Course - Dependence and classification modeling

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

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Association for Uncertainty in Artificial Intelligence

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

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