A New Bayesian Network Based on Gaussian Naive Bayes with Fuzzy Parameters for Training Assessment in Virtual Simulators-Reference-Cited by-同舟云学术

A New Bayesian Network Based on Gaussian Naive Bayes with Fuzzy Parameters for Training Assessment in Virtual Simulators

Published:2020-11-04 Issue:3 Volume:23 Page:849-861
ISSN:1562-2479
Container-title:International Journal of Fuzzy Systems
language:en
Short-container-title:Int. J. Fuzzy Syst.

Author:

Moraes Ronei M.^ORCID,Ferreira Jodavid A.,Machado Liliane S.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s40815-020-00936-4.pdf

Reference48 articles.

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3. Borgelt, C., Gebhardt, J.: A naive bayes style possibilistic classifier. In: Proceedings of 7th European Congress on Intelligent Techniques and Soft Computing (EUFIT’99), p. [cdrom] (1999)

4. Boulle, M.: Compression-based averaging of selective naive bayes classifiers. J. Mach. Learn. Res. 8, 1659–1685 (2007)

5. Buckley, J.: Fuzzy Probability and Statistics, 1st edn. Springer, Berlin (2006)

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