Maintained by Gal Elidan - over a dozen publicly available networks with documentation, in several popular interchange formats
A survey and tutorial by Daryle Niedermayer - covers material on Bayesian inference in general and selected industrial applications of graphical models
Research group at the University of Pittsburgh with links to books and software on probabilistic, decision-theoretic, and econometric graphical models
Probabilistic reasoning and genetic algorithms for perception, inference and action: Bayesian cognitive and brain models, software for robotics, probabilistic inference engine
Computers /
Artificial_Intelligence /
Neural_Networks
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