A very light-weight library for probabilistic reasoning on the basis of a directed graphs encoding causal relationships between variables.
We offer a Java library for probabilistic reasoning with Bayesian belief networks for unlimited variables with multinomial discrete values. It is appropriate for systems where the joint probability distribution can be decomposed into a sparsely connected directed graphs without cycles. The supplied inference algorithms are either bucket tree elimination of the clique tree algorithm.
The library is currently available in release
uk.co.weirholme.wbbn-1.0-beta as a Java binary. If you are interested in testing this library with your applications, please contact us.