Scutari, Marco (2009) Structure Variability in Bayesian Networks. [Working Paper] WORKING PAPER SERIES, 13/2009 . , PADOVA (Inedito)
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The structure of a Bayesian network encodes most of the information about the probability distribution of the data, which is uniquely identified given some general distributional assumptions. Therefore it’s important to study the variability of its network structure, which can be used to compare the performance of different learning algorithms and to measure the strength of any arbitrary subset of arcs.
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