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The Pattern Analysis Library (PALib) is a C++ class library for pattern classification/recognition. PALib consists of a wide range of machine learning routines such as Bayesian decision theory, artificial neural networks, and fuzzy inference systems.
Java/XML toolkit for research using Bayesian networks and other graphical models of probability (exact and approximate inference, structure learning, etc.)
RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions.
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Hotstop is scientific software that allows to extract experimental ion stopping force curves from RBS spectra (as well as to stimate uncertainities) It uses Simulated Annealing and Bayesian Inference algorithms.
A general purpose C++ library for Bayesian Filtering.<p>
Essentially Bayesian Filtering is a way of having a program learn to categorize information from a specific user through pattern recognition. <p>