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This video was recorded at NIPS Workshop on Machine Learning Open Source Software, Whistler 2008. libDAI is a free and open source C++ library (licensed under GPL) that provides implementations of various (approximate) inference methods for discrete graphical models. libDAI supports arbitrary factor graphs with discrete variables; this includes discrete Markov Random Fields and Bayesian Networks. The library is targeted at researchers; to be able to use the library, a good understanding of graphical models is needed. Currently, libDAI supports the following (approximate) inference methods: exact inference by brute force enumeration, exact inference by junction-tree methods, Mean Field, Loopy Belief Propagation, Tree Expectation Propagation, Generalized Belief Propagation, Double-loop GBP,... Show More


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