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New Techniques for Learning Parameters in Bayesian Networks.
(Queen Mary University of London, 2015-08)
One of the hardest challenges in building a realistic Bayesian network (BN) model is
to construct the node probability tables (NPTs). Even with a fixed predefined model
structure and very large amounts of relevant data, ...