A Brief Introduction to Graphical Models and Bayesian Networks «
http://www.cs.berkeley.edu/~murphyk/Bayes/bayes.html | | Kevin murphy's tutorial , including a recommended reading list. |
An Introduction to Bayesian Networks and Their Contemporary Applications «
http://www.niedermayer.ca/papers/bayesian/ | | A survey and tutorial by daryle niedermayer - covers material on bayesian inference in general and selected industrial applications of graphical models |
Association for Uncertainty in Artificial Intelligence «
http://www.auai.org/ | | Main association for belief network researchers. runs the annual uncertainty in artificial intelligence (uai) conferences , and the uai mailing list. |
B-Course - Dependence and classification modeling «
http://b-course.cs.helsinki.fi | | A free , interactive tutorial on bayesian modeling , in particular dependence and classification modeling. |
Bayesian Network Repository «
http://www.cs.huji.ac.il/labs/compbio/Repository/ | | Maintained by gal elidan - over a dozen publicly available networks with documentation , in several popular interchange formats |
Belief Networks and Variational Methods : Amos Storkey «
http://www.anc.ed.ac.uk/~amos/belief.html | | Dynamic trees are mixtures of tree structured belief networks , and are used as models for image segmentation and tracking. |
Belief Revision «
http://beliefrevision.org | | Software , publications , teaching material , and news on belief revision - from the business and technology research laboratory at the university of newcastle , australia |
Cause, chance and Bayesian statistics «
http://www.abelard.org/briefings/bayes.htm | | Briefing document with a short survey of bayesian statistics |
Daphne's Approximate Group of Students (DAGS) «
http://dags.stanford.edu | | Daphne koller's research group on probabilistic representation , reasoning , and learning at stanford university |
Decision Systems Lab (DSL) «
http://www.sis.pitt.edu/~dsl/ | | Research group at the university of pittsburgh with links to books and software on probabilistic , decision-theoretic , and econometric graphical models |
LAPLACE Group - Bayesian Models for Perception, Inference and Action «
http://www-laplace.imag.fr | | Probabilistic reasoning and genetic algorithms for perception , inference and action: bayesian cognitive and brain models , software for robotics , probabilistic inference engine |
Learning Bayesian Networks from Data «
http://www.cs.huji.ac.il/~nirf/Nips01-Tutorial/ | | 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 |
Qualitative Verbal Explanations in Bayesian Belief Networks «
http://www.pitt.edu/~druzdzel/abstracts/aisb.html | | 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 «
http://www.cs.cmu.edu/afs/cs/project/jair/pub/volume6/darwiche97a-html/jair-f.html | | 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. |
