Abstract

Graphical Markov models are a powerful tool for the description of
complex interactions between the variables of a domain. They provide a
succinct description of the joint distribution of the variables. This
feature has led to the most successful application of graphical Markov
models, that is as the core component of probabilistic expert systems.
The
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