Evaluating The Difference Between Graph Structures In Gaussian Bayesian Networks

Gómez Villegas, Miguel Ángel; Main Yaque, Paloma; Navarro Veguillas, Hilario; Susi García, María Del Rosario

Evaluating The Difference Between Graph Structures In Gaussian Bayesian Networks

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Official URL

https//doi.org/10.1016/j.eswa.2011.04.020

Publication date

2011

Authors

Gómez Villegas, Miguel Ángel

Main Yaque, Paloma

Navarro Veguillas, Hilario

Susi García, María Del Rosario

Publisher

Pergamon-Elsevier

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URI

https://hdl.handle.net/20.500.14352/42206

Citation

Gómez Villegas, M. Á., Main Yaque, P., Navarro Veguillas, H. & Susi García, M. R. «Evaluating the Difference between Graph Structures in Gaussian Bayesian Networks». Expert Systems with Applications, vol. 38, n.o 10, septiembre de 2011, pp. 12409-14. DOI.org (Crossref), https://doi.org/10.1016/j.eswa.2011.04.020.

Abstract

In this work, we evaluate the sensitivity of Gaussian Bayesian networks to perturbations or uncertainties in the regression coefficients of the network arcs and the conditional distributions of the variables. The Kullback–Leibler divergence measure is used to compare the original network to its perturbation. By setting the regression coefficients to zero or non-zero values, the proposed method can remove or add arcs, making it possible to compare different network structures. The methodology is implemented with some case studies.