mloss.org FastInfhttp://mloss.orgUpdates and additions to FastInfenFri, 04 Jun 2010 14:04:37 -0000FastInf 1.0http://mloss.org/software/view/253/<html><p>The FastInf C++ library is designed to perform memory and time
efficient approximate inference in large-scale discrete undirected
graphical models. The focus of the library is propagation based
approximate inference methods, ranging from the basic loopy belief
propagation algorithm to propagation based on convex free energies.
Various message scheduling schemes that improve on the standard
synchronous or asynchronous approaches are included. Also
implemented are a clique tree based exact inference, Gibbs sampling,
and the mean field algorithm. In addition to inference, FastInf
provides parameter estimation capabilities as well as representation
and learning of shared parameters. It offers a rich interface that
facilitates extension of the basic classes to other inference and
learning methods.
</p></html>Ariel Jaimovich,Ofer Meshi,Ian McGraw, Gal ElidanFri, 04 Jun 2010 14:04:37 -0000http://mloss.org/software/rss/comments/253http://mloss.org/software/view/253/approximate inferencegeneralized belief propagationgraphical modelsloopy belief propagationmarkov random fieldsicml2010