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Category:  Main » Computers » Artificial Intelligence » Belief Networks

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An Introduction to Bayesian Networks and Their Contemporary Applications Popularity:    Hit: 123 | Visit: 6
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A survey and tutorial by Daryle Niedermayer - covers material on Bayesian inference in general and selected industrial applications of graphical models
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Description: Computers, Artificial Intelligence, Belief Networks - 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
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Association for Uncertainty in Artificial Intelligence (Popularity: ): 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 (Popularity: ): 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 (Popularity: ): Article published in JAIR (Journal of AI Research) about a way to implement belief networks by compiling networks into arithmetic ...
Belief Networks and Variational Methods : Amos Storkey (Popularity: ): Dynamic Trees are mixtures of tree structured belief networks, and are used as models for image segmentation and tracking.
A Brief Introduction to Graphical Models and Bayesian Networks (Popularity: ): Kevin Murphy's tutorial, including a recommended reading list.
B-Course - Dependence and classification modeling (Popularity: ): A free, interactive tutorial on Bayesian modeling, in particular dependence and classification modeling.
Cause, chance and Bayesian statistics (Popularity: ): Briefing document with a short survey of Bayesian statistics
Learning Bayesian Networks from Data (Popularity: ): Slides and additional notes from a tutorial by Nir Friedman and Daphne Koller on automated learning of belief networks, given ...
Belief Revision (Popularity: ): Software, publications, teaching material, and news on belief revision - from the Business and Technology Research Laboratory at the University ...
Daphne's Approximate Group of Students (DAGS) (Popularity: ): Daphne Koller's research group on probabilistic representation, reasoning, and learning at Stanford University


Popular Sites
Bayesian Network Repository (Popularity: ): Maintained by Gal Elidan - over a dozen publicly available networks with documentation, in several popular interchange formats
A Brief Introduction to Graphical Models and Bayesian Networks (Popularity: ): Kevin Murphy's tutorial, including a recommended reading list.
B-Course - Dependence and classification modeling (Popularity: ): A free, interactive tutorial on Bayesian modeling, in particular dependence and classification modeling.
Association for Uncertainty in Artificial Intelligence (Popularity: ): Main association for belief network researchers. Runs the annual Uncertainty in Artificial Intelligence (UAI) conferences, and the UAI mailing list.
Cause, chance and Bayesian statistics (Popularity: ): Briefing document with a short survey of Bayesian statistics


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