See also:

• Computers: Artificial Intelligence: Neural Networks  (262)
• Science: Math: Probability  (101)
• Science: Math: Statistics: Bayesian Analysis  (20)

A Brief Introduction to Graphical Models and Bayesian Networks     www.cs.berkeley.edu/~murphyk/Bayes/bayes.html Kevin Murphy's tutorial, including a recommended reading list.

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

Bayesian Network Repository  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

B-Course - Dependence and classification modeling  b-course.cs.helsinki.fi A free, interactive tutorial on Bayesian modeling, in particular dependence and classification modeling.

Belief Networks and Variational Methods : Amos Storkey  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.

Belief Revision  beliefrevision.org Software, publications, teaching material, and news on belief revision - from the Business and Technology Research Laboratory at the University of Newcastle, Australia

Cause, chance and Bayesian statistics  www.abelard.org/briefings/bayes.htm Briefing document with a short survey of Bayesian statistics

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

Decision Systems Lab (DSL)  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

An Introduction to Bayesian Networks and Their Contemporary Applications  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

Learning Bayesian Networks from Data  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

Qualitative Verbal Explanations in Bayesian Belief Networks  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  www.cs.cmu.edu/afs/cs/project/jair/pub/volume6/darwiche97a-html/jair-f… 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.