mloss | Projects authored by claudio lima.

libDAI 0.2.7

by jorism - September 4, 2010, 09:39:57 CET [ ] 12553 views, 2375 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:

libDAI release 0.2.7 is a bug-fix release which fixes a bug in the junction-tree MAP inference which could yield incorrect results in some cases. This release accompanies a JMLR open source track publication about libDAI.

Authors: Joris Mooij, Martijn Leisink, Patrick Pletscher, Bastian Wemmenhove, Charles Vaske, Frederik Eaton, Giuseppe Passino, Christian Wojek, Claudio Lima
License: Gpl Version 2 Or Later
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 0.2.7