Web-BAMT is a web service that allows you to train Bayesian networks on demonstration examples on data of various nature.

Introduction to Bayesian networks

A Bayesian network is a pair of directed acyclic graph (DAG) describing the dependencies of characteristics and some factorization of the joint distribution of characteristics in the product of conditional, generated by these dependencies. The task of training a Bayesian network is thus split into two subtasks:

• Finding the structure of the Bayesian network.
• Parametric training of the Bayesian network or, in other words, selection of marginal and conditional distributions that describe the conditional ones accurately enough.