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The Libra toolkit for probabilistic models. (English) Zbl 1351.68221
Summary: The Libra Toolkit is a collection of algorithms for learning and inference with discrete probabilistic models, including Bayesian networks, Markov networks, dependency networks, and sum-product networks. Compared to other toolkits, Libra places a greater emphasis on learning the structure of tractable models in which exact inference is efficient. It also includes a variety of algorithms for learning graphical models in which inference is potentially intractable, and for performing exact and approximate inference. Libra is released under a 2-clause BSD license to encourage broad use in academia and industry.

MSC:
68T05 Learning and adaptive systems in artificial intelligence
62-04 Software, source code, etc. for problems pertaining to statistics
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