A Brief Introduction to Graphical Models and Bayesian Networks (Popularity:  )
Kevin Murphy's tutorial, including a recommended reading list.
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An Introduction to Bayesian Networks and Their Contemporary Applications (Popularity: )
A survey and tutorial by Daryle Niedermayer - covers material on Bayesian inference in general and selected industrial applications of ...
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Association for Uncertainty in Artificial Intelligence (Popularity: )
Main association for belief network researchers. Runs the annual Uncertainty in Artificial Intelligence (UAI) conferences, and the UAI mailing list.
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B-Course - Dependence and classification modeling (Popularity: )
A free, interactive tutorial on Bayesian modeling, in particular dependence and classification modeling.
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Bayesian Network Repository (Popularity: )
Maintained by Gal Elidan - over a dozen publicly available networks with documentation, in several popular interchange formats
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Belief Networks and Variational Methods : Amos Storkey (Popularity: )
Dynamic Trees are mixtures of tree structured belief networks, and are used as models for image segmentation and tracking.
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Belief Revision (Popularity: )
Software, publications, teaching material, and news on belief revision - from the Business and Technology Research Laboratory at the University ...
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Cause, chance and Bayesian statistics (Popularity: )
Briefing document with a short survey of Bayesian statistics
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Daphne's Approximate Group of Students (DAGS) (Popularity: )
Daphne Koller's research group on probabilistic representation, reasoning, and learning at Stanford University
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Decision Systems Lab (DSL) (Popularity: )
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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LAPLACE Group - Bayesian Models for Perception, Inference and Action (Popularity: )
Probabilistic reasoning and genetic algorithms for perception, inference and action: Bayesian cognitive and brain models, software for robotics, probabilistic inference ...
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Learning Bayesian Networks from Data (Popularity: )
Slides and additional notes from a tutorial by Nir Friedman and Daphne Koller on automated learning of belief networks, given ...
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Qualitative Verbal Explanations in Bayesian Belief Networks (Popularity: )
Paper about combining probabilistic models and human-intuitive approaches to modeling uncertainty by generating qualitative verbal explanations of reasoning.
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Query DAGs: A Practical Paradigm for Implementing Belief-Network Inference (Popularity: )
Article published in JAIR (Journal of AI Research) about a way to implement belief networks by compiling networks into arithmetic ...
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