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Association for Uncertainty in Artificial Intelligence  - http://www.auai.org/  Main association for belief network researchers. Runs the annual Uncertainty in Artificial Intelligence (UAI) conferences, and the UAI mailing list.  Qualitative Verbal Explanations in Bayesian Belief Networks  - http://www.pitt.edu/~druzdzel/abstracts/aisb.html  Paper about combining probabilistic models and human-intuitive approaches to modeling uncertainty by generating qualitative verbal explanations of reasoning.  Query DAGs: A Practical Paradigm for Implementing Belief-Network Inference  - http://www.cs.cmu.edu/afs/cs/project/jair/pub/volume6/darwiche97a-html/jair-f.html  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.  Belief Networks and Variational Methods : Amos Storkey  - http://www.anc.ed.ac.uk/~amos/belief.html  Dynamic Trees are mixtures of tree structured belief networks, and are used as models for image segmentation and tracking.  UConn list of Bayesian Network Resources  - http://excalibur.brc.uconn.edu/~baynet/  Eugene Santos' lists of belief network research, papers, and systems.  A Brief Introduction to Graphical Models and Bayesian Networks  - http://www.cs.berkeley.edu/~murphyk/Bayes/bayes.html  Kevin Murphy's tutorial, including a recommended reading list.  B-Course - Dependence and classification modeling  - http://b-course.cs.helsinki.fi  A free, interactive tutorial on Bayesian modeling, in particular dependence and classification modeling.  Cause, chance and Bayesian statistics  - http://www.abelard.org/briefings/bayes.htm  Briefing document with a short survey of Bayesian statistics  Learning Bayesian Networks from Data  - http://www.cs.huji.ac.il/~nirf/Nips01-Tutorial/  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  Belief Revision  - http://beliefrevision.org  Software, publications, teaching material, and news on belief revision - from the Business and Technology Research Laboratory at the University of Newcastle, Australia  Daphne's Approximate Group of Students (DAGS)  - http://dags.stanford.edu  Daphne Koller's research group on probabilistic representation, reasoning, and learning at Stanford University  Bayesian Network Repository  - http://www.cs.huji.ac.il/labs/compbio/Repository/  Maintained by Gal Elidan - over a dozen publicly available networks with documentation, in several popular interchange formats  An Introduction to Bayesian Networks and Their Contemporary Applications  - http://www.niedermayer.ca/papers/bayesian/  A survey and tutorial by Daryle Niedermayer - covers material on Bayesian inference in general and selected industrial applications of graphical models  Decision Systems Lab (DSL)  - http://www.sis.pitt.edu/~dsl/  Research group at the University of Pittsburgh with links to books and software on probabilistic, decision-theoretic, and econometric graphical models  LAPLACE Group - Bayesian Models for Perception, Inference and Action  - http://www-laplace.imag.fr  Probabilistic reasoning and genetic algorithms for perception, inference and action: Bayesian cognitive and brain models, software for robotics, probabilistic inference engine