2010
JMLR
JMLR 2010
libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models
Abstract
This paper describes the software package libDAI, a free & open source C++ library that provides implementations of various exact and approximate inference methods for graphical models with discrete-valued variables. libDAI supports directed graphical models (Bayesian networks) as well as undirected ones (Markov random fields and factor graphs). It offers various approximations of the partition sum, marginal probability distributions and maximum probability states. Parameter learning is also supported. A feature comparison with other open source software packages for approximate inference is given. libDAI is licensed under the GPL v2+ license and is available at http://www.libdai.org. [abs] [ pdf ][ bib ] [ code ] © JMLR 2010. (edit, beta)
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Interdisciplinary Bridge
— Artificial Intelligence and Mathematics & Optimization
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Hot Topic Early Bird
— markov random field
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— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio