Structural learning of Bayesian networks by bacterial foraging optimization-Reference-Cited by-同舟云学术

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Structural learning of Bayesian networks by bacterial foraging optimization

Published:2016-02 Issue: Volume:69 Page:147-167
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Yang Cuicui,Ji Junzhong,Liu Jiming,Liu Jinduo,Yin Baocai

Funder

NSFC

National “973” Key Basic Research Program of China

Specialized Research Fund for the Doctoral Program of Higher Education

Beijing Municipal Education Research Plan

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference46 articles.

1. Reasoning in Intelligent Systems: Networks of Plausible Inference;Pearl,1988

2. Learning Bayesian networks: approaches and issues;Daly;Knowl. Eng. Rev.,2011

3. Iterated local search algorithm for learning Bayesian networks with restarts on conditional independence tests;de Campos;Int. J. Intell. Syst.,2003

4. Using evolutionary programming and minimum description length principle for data mining of Bayesian networks;Wong;IEEE Trans. Pattern Anal. Mach. Intell.,1999

5. An efficient data mining method for learning Bayesian network using an evolutionary algorithm-based hybrid approach;Wong;IEEE Trans. Evol. Comput.,2004

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