|
|
|
| Up One Level |
|
Topia!: Computers: Artificial Intelligence: Belief Networks (58)
See Also:
 A Brief Introduction to Graphical Models and Bayesian Networks - Kevin Murphy's tutorial, including a recommended reading list.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. 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. 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. UConn list of Bayesian Network Resources - Eugene Santos' lists of belief network research, papers, and systems. B-Course - Dependence and classification modeling - A free, interactive tutorial on Bayesian modeling, in particular dependence and classification modeling. Cause, chance and Bayesian statistics - Briefing document with a short survey of Bayesian statistics 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 Belief Revision - 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) - Daphne Koller's research group on probabilistic representation, reasoning, and learning at Stanford University Decision Systems Lab (DSL) - Research group at the University of Pittsburgh with links to books and software on probabilistic, decision-theoretic, and econometric graphical models Bayesian Network 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 - A survey and tutorial by Daryle Niedermayer - covers material on Bayesian inference in general and selected industrial applications of graphical models
Additional categories:
|
|
||
| Belief Networks | |||
|
