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Probabilistic reasoning and genetic algorithms for perception, inference and action: Bayesian cognitive and brain models, software for robotics, probabilistic inference engine
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Computers, Artificial Intelligence, Belief Networks - LAPLACE Group - Bayesian Models for Perception, Inference and Action. Probabilistic reasoning and genetic algorithms for perception, inference and action: Bayesian cognitive and brain models, software for robotics, probabilistic inference engine |
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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
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