Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data-Reference-Cited by-同舟云学术

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Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data

Published:2021-04 Issue: Volume:131 Page:151-188
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Constantinou Anthony C.^ORCID,Liu Yang^ORCID,Chobtham Kiattikun,Guo Zhigao,Kitson Neville K.^ORCID

Funder

Alan Turing Institute

Engineering and Physical Sciences Research Council

Office of the Civil Service Commission

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference58 articles.

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4. The grand leap;Humphreys;Br. J. Philos. Sci.,1996

5. Reply to Humphreys and Freedman's review of causation, prediction, and search;Spirtes;Br. J. Philos. Sci.,1997

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