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Evaluating The Difference Between Graph Structures In Gaussian Bayesian Networks



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Gómez Villegas, Miguel A. and Main Yaque, Paloma and Navarro Veguillas, Hilario and Susi, Rosario (2011) Evaluating The Difference Between Graph Structures In Gaussian Bayesian Networks. Expert Systems With Applications, 38 (10). pp. 12409-12414. ISSN 0957-4174

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Official URL: http://www.sciencedirect.com/science/article/pii/S0957417411005367


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.

Item Type:Article
Uncontrolled Keywords:Gaussian Bayesian networks; Conditional specification; Sensitivity analysis; Kullback-Leibler divergence measure;Sensitivity-Analysis;Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic; Operations Research & Management
Subjects:Sciences > Mathematics > Mathematical statistics
ID Code:15611
Deposited On:13 Jun 2012 08:58
Last Modified:26 Jun 2018 06:32

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