UnBBayes is a probabilistic network framework written in Java. It has both a GUI and an API with inference, sampling, learning and evaluation. It supports BN, ID, MSBN, OOBN, HBN, MEBN/PR-OWL, structure, parameter and incremental learning.
The overview is presented through a slides potpourri from different presentations the Artificial Intelligence Group (GIA) from University of Brasilia (UnB) has given since 1999. It covers BN, ID, MSBN, UnBBayes Server, and MEBN.
This presentation was given by Rommel Carvalho when he started his PhD at George Mason University on the Friday seminar called Krypton (http://krypton.c4i.gmu.edu/).
Clipping is a handy way to collect important slides you want to go back to later.