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.
This presentation talks about UnBBayes version 4.0.0, which is the first version that supports plugins. In it we present the major concepts behind this Plugin Framework, features and benefits, applications, some sample plugins, specification, extension points, and availability.
This presentation was given by Shou Matsumoto from the University of Brasilia in Brazil via web conference to PhD students at George Mason University in the US on the Friday seminar called Krypton (http://krypton.c4i.gmu.edu/).