This section devoted to the bayesian Network (also known as Bayesian belief network) is a model for reasoning about uncertainty.
A Bayesian network, Bayes network, belief network, Bayes(ian) model or probabilistic directed acyclic graphical model is a probabilistic graphical model (a type of statistical model) that represents a set of random variables and their conditional dependencies via a directed acyclic graph (DAG). For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms.
SCaVis contains Java libraries for Bayesian network. This library uses the Encog engine from Heaton Research.
Below we show a simple Bayesian network using Java libraries and Python:
— Sergei Chekanov 2010/03/07 16:37