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2009

Constraint-based Approach to Discovery of Inter Module Dependencies in Modular Bayesian Networks

8 years 11 months ago
Constraint-based Approach to Discovery of Inter Module Dependencies in Modular Bayesian Networks
This paper introduces an information theoretic approach to verification of modular causal probabilistic models. We assume systems which are gradually extended by adding new functional modules, each having a limited domain knowledge captured by a local Bayesian network. Different modules originate from independent design processes. We assume that the local models are correct, which, however does not guarantee globally coherent inference in composed systems. The introduced method supports discovery of significant inter module dependencies which are ignored in the assembled Bayesian network.
Patrick de Oude, Gregor Pavlin
Added 17 Feb 2011
Updated 17 Feb 2011
Type Journal
Year 2009
Where FLAIRS
Authors Patrick de Oude, Gregor Pavlin
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