mloss | Projects authored by charles vaske.

libDAI 0.3.1

by jorism - September 17, 2012, 14:17:03 CET [ ] 25629 views, 4761 downloads, 2 subscriptions

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About: libDAI provides free & open source implementations of various (approximate) inference methods for graphical models with discrete variables, including Bayesian networks and Markov Random Fields.

Changes:

Release 0.3.1 fixes various bugs. The issues on 64-bit Windows platforms have been fixed and libDAI now offers full 64-bit support on all supported platforms (Linux, Mac OSX, Windows).

Authors: Joris Mooij, Martijn Leisink, Frederik Eaton, Charles Vaske, Giuseppe Passino, Bastian Wemmenhove, Patrick Pletscher
License: Free Bsd
Programming Language: C++, Python, Matlab, Octave

Operating System: Cygwin, Linux, Macosx, Windows
Data Formats: Ascii
JMLR-MLOSS Publication: JMLR Page
Tags: Approximate Inference, Bayesian Networks, Factor Graphs, Generalized Belief Propagation, Graphical Models, Junction Tree, Loop Corrections, Loopy Belief Propagation, Markov Random Fields, Mean Field

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libDAI 0.3.1