- Artificial Intelligence > Belief Networks

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

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

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

Maintained by Gal Elidan - over a dozen publicly available networks with documentation, in several popular interchange formats

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

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

Briefing document with a short survey of Bayesian statistics

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

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

Probabilistic reasoning and genetic algorithms for perception, inference and action: Bayesian cognitive and brain models, software for robotics, probabilistic inference engine