mloss | Projects that are tagged with generalized belief propagation.

libDAI 0.3.1

by jorism - September 17, 2012, 14:17:03 CET [ ] 25719 views, 4772 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

FastInf 1.0

by arielj - June 4, 2010, 14:04:37 CET [ ] 6648 views, 2093 downloads, 1 subscription

About: The library is focused on implementation of propagation based approximate inference methods. Also implemented are a clique tree based exact inference, Gibbs sampling, and the mean field algorithm.

Changes:

Initial Announcement on mloss.org.

Authors: Ariel Jaimovich, Ofer Meshi, Ian Mcgraw, Gal Elidan
License: Gpl Version 3
Programming Language: C++

Operating System: Macosx, Unix
Data Formats: Binary
JMLR-MLOSS Publication: JMLR Page
Tags: Approximate Inference, Generalized Belief Propagation, Graphical Models, Loopy Belief Propagation, Markov Random Fields, Icml2010

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libDAI 0.3.1

FastInf 1.0