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This video was recorded at 27th International Conference on Machine Learning (ICML), Haifa 2010. The Libra machine learning toolkit includes implementations of a variety of algorithms for learning and inference with Bayesian networks and arithmetic circuits: Learning algorithms -- Structure learning for BNs and ACs; Chow-Liu algorithm; AC weight learning Inference algorithms - Mean field, belief propagation, Gibbs sampling, AC variable elimination, AC exact inference Libra's strength is exploiting context-specific independence (such as decision tree CPDs) to allow exact inference in models with high treewidth.


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