RT Journal Article
T1 Evaluating The Difference Between Graph Structures In Gaussian Bayesian Networks
A1 Gómez Villegas, Miguel Ángel
A1 Main Yaque, Paloma
A1 Navarro Veguillas, Hilario
A1 Susi García, María Del Rosario
AB 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.
PB Pergamon-Elsevier
SN 0957-4174
YR 2011
FD 2011
LK https://hdl.handle.net/20.500.14352/42206
UL https://hdl.handle.net/20.500.14352/42206
LA eng
NO 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.
NO Spanish Ministerio De Ciencia E Innovacion[MTM 2008-03282]; BSCH-UCM From Spain[GR58/08-A, 910395]
DS Docta Complutense
RD 24 ago 2024