About: A Java framework for statistical analysis and classification of biological sequences

March 2, 2010: Jstacs 1.3.1 released

• Partitioning of Samples including weights

• Release of Dispom (de-novo discovery of differentially abundant transcription factor binding sites including their positional preference)

• Several bugfixes

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

New features include:

* approximate inference method "Fractional Belief Propagation" (contributed by Frederik Eaton)
* approximate inference method "Tree-Reweighted Belief Propagation"

Apart from that, this release various code cleanups, bug fixes, added examples, and documentation improvements.

About: This toolbox provides functions for maximizing and minimizing submodular set functions, with applications to Bayesian experimental design, inference in Markov Random Fields, clustering and others.

Initial Announcement on mloss.org.

About: JProGraM is an open-source Java library which can be used for learning the following probabilistic models from data: Bayesian networks, Markov random fields, hybrid random fields, probabilistic [...]

Initial Announcement on mloss.org.

About: GMRFLib is a library in C for fast and exact simulation of Gaussian Markov Random Fields (GMRF) on graphs.unconditional simulation of a GMRF, conditional simulation from a GMRF

Initial Announcement on mloss.org.