Constraint-basedApproach toDiscoveryof InterModule Dependenciesin ModularBayesian Networks
BibTeX
@MISC{Oude_constraint-basedapproachtodiscoveryof,
author = {Patrick De Oude and Gregor Pavlin},
title = {Constraint-basedApproach toDiscoveryof InterModule Dependenciesin ModularBayesian Networks},
year = {}
}
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Abstract
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 Bayesiannetwork. Differentmodulesoriginatefromindependent 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 assembledBayesiannetwork.
Citations
| 5 | Probabilistic Reasoning in IntelligentSystems: NetworksofPlausibleInference - Pearl - 1989 |
| 3 | A multi agent systems approach to distributed Bayesian information fusion - Pavlin, Oude, et al. |
| 1 | An information theoreticapproachtoverificationofmodularbayesian fusion systems - Oude, Pavlin - 2008 |
| 1 | Dependencediscovery in modular bayesian networks - deOude, andPavlin |
| 1 | Causation,Prediction,andSearch. The MITPress - Spirtes, Glymour, et al. - 2000 |
