Call for participation AMBN 2010 1st International Workshop on Advanced Methodologies for Bayesian Networks Tokyo, Japan November 18-19, 2010 http://www.ai.is.uec.ac.jp/ambn2010/
Overview: Over the last few decades, Bayesian Networks (BNs) have become an increasingly popular AI approach. In this workshop we explore methodologies for enhancing the effectiveness of BNs including modeling, reasoning, model selection, logic-probability relations, and causality. The exploration of methodologies is complemented discussions of practical considerations for applying BNs in real world settings, covering concerns like scalability, incremental learning, parallelization, and so on. Keynote Speeches: - A Brief History of Belief Propagation Arthur Choi (UCLA) - Relax, Compensate and then Recover: A Theory of Anytime, Approximate Inference Adnan Darwiche (UCLA) - Constraint Optimal Search on Learning Bayesian Network Structure Seiya Imoto (University of Tokyo) - Towards Objective Learning of Bayesian Networks Petri Myllymäki (University of Helsinki) Program: http://www.ai.is.uec.ac.jp/ambn2010/program.html Accepted Papers: http://www.ai.is.uec.ac.jp/ambn2010/acceptedPapers.html General Co-Chairs: Maomi Ueno, The University of Electro-Communications Takashi Isozaki, Sony Computer Science Laboratories, Inc. _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
