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Home: Artificial Intelligence: Belief Networks

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Conferences and Events (3)

Projects and Systems (9)

Software (28)

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A Brief Introduction to Graphical Models and Bayesian Networks
Kevin Murphy's tutorial, including a recommended reading list. (Rating: 0.00 Votes: 0) Rate It

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 (Rating: 0.00 Votes: 0) Rate It

Association for Uncertainty in Artificial Intelligence
Main association for belief network researchers. Runs the annual Uncertainty in Artificial Intelligence (UAI) conferences, and the UAI mailing list. (Rating: 0.00 Votes: 0) Rate It

B-Course - Dependence and classification modeling
A free, interactive tutorial on Bayesian modeling, in particular dependence and classification modeling. (Rating: 0.00 Votes: 0) Rate It

Bayesian Network Repository
Maintained by Gal Elidan - over a dozen publicly available networks with documentation, in several popular interchange formats (Rating: 0.00 Votes: 0) Rate It

Belief Networks and Variational Methods : Amos Storkey
Dynamic Trees are mixtures of tree structured belief networks, and are used as models for image segmentation and tracking. (Rating: 0.00 Votes: 0) Rate It

Belief Revision
Software, publications, teaching material, and news on belief revision - from the Business and Technology Research Laboratory at the University of Newcastle, Australia (Rating: 0.00 Votes: 0) Rate It

Cause, chance and Bayesian statistics
Briefing document with a short survey of Bayesian statistics (Rating: 0.00 Votes: 0) Rate It

Daphne's Approximate Group of Students (DAGS)
Daphne Koller's research group on probabilistic representation, reasoning, and learning at Stanford University (Rating: 0.00 Votes: 0) Rate It

Learning Bayesian Networks from Data
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 (Rating: 0.00 Votes: 0) Rate It

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. (Rating: 0.00 Votes: 0) Rate It

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. (Rating: 0.00 Votes: 0) Rate It

UConn list of Bayesian Network Resources
Eugene Santos' lists of belief network research, papers, and systems. (Rating: 0.00 Votes: 0) Rate It

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