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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, PRM, structure, parameter and incremental learning.
This presentation talks about UnBBayes-PRM, a plugin for UnBBayes that has a simple implementation of Probabilistic Relational Models.
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/) in October 29, 2010.