Bayesian networks are used to show and calculate the effects of pieces of knowledge on each other. They are strongly related to expert systems, but use probability theory to calculate those effects and can therefore easily deal with problems like uncertainty and missing data.
More information
More information
Subcategories 3
Related categories 3
Sites 7
Main association for belief network researchers. Runs the annual Uncertainty in Artificial Intelligence (UAI) conferences, and the UAI mailing list.
Dynamic Trees are mixtures of tree structured belief networks, and are used as models for image segmentation and tracking.
Briefing document with a short survey of Bayesian statistics
Daphne Koller's research group on probabilistic representation, reasoning, and learning at Stanford University
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
Paper about combining probabilistic models and human-intuitive approaches to modeling uncertainty by generating qualitative verbal explanations of reasoning.
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.
Dynamic Trees are mixtures of tree structured belief networks, and are used as models for image segmentation and tracking.
Briefing document with a short survey of Bayesian statistics
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
Daphne Koller's research group on probabilistic representation, reasoning, and learning at Stanford University
Paper about combining probabilistic models and human-intuitive approaches to modeling uncertainty by generating qualitative verbal explanations of reasoning.
Main association for belief network researchers. Runs the annual Uncertainty in Artificial Intelligence (UAI) conferences, and the UAI mailing list.
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.
Last update:
August 17, 2021 at 5:55:14 UTC
Check out
Shopping: Clothing: Niche: Dance: Ballet
- Recently edited by merlin1
- Recently edited by merlin1