Resources pertaining Belief Networks from our Artificial Intelligence category

A Brief Introduction to Graphical Models and Bayesian Networks - Kevin Murphy's tutorial

An Introduction to Bayesian Networks and Their Contemporary Applications - A survey and tutorial by Daryle Niedermayer - covers material on Bayesian inference in general and selected industrial applications of graphical models

B-Course - Dependence and classification modeling - A free

Bayesian Network Repository - Maintained by Gal Elidan - over a dozen publicly available networks with documentation

Belief Networks and Variational Methods : Amos Storkey - Dynamic Trees are mixtures of tree structured belief networks

Belief Revision - Software

Cause - chance and Bayesian statistics

Daphne's Approximate Group of Students (DAGS) - Daphne Koller's research group on probabilistic representation

Decision Systems Lab (DSL) - Research group at the University of Pittsburgh with links to books and software on probabilistic

LAPLACE Group - Bayesian Models for Perception - Inference and Action

Learning Bayesian Networks from Data - Slides and additional notes from a tutorial by Nir Friedman and Daphne Koller on automated learning of belief networks

Microsoft Belief Network Tools - Free Windows software for creation

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.

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.

UConn list of Bayesian Network Resources - Eugene Santos' lists of belief network research