Direct causal structure extraction from pairwise interaction patterns in NAT modeling Bayesian networks-Reference-Cited by-同舟云学术

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Direct causal structure extraction from pairwise interaction patterns in NAT modeling Bayesian networks

Published:2019-02 Issue: Volume:105 Page:175-193
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Xiang Yang^ORCID

Funder

NSERC

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference26 articles.

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

2. Some practical issues in constructing belief networks;Henrion,1989

3. Parameter adjustment in Bayes networks: the generalized noisy OR-gate;Diez,1993

4. Context-specific independence in Bayesian networks;Boutilier,1996

5. Importance sampling in Bayesian networks using probability trees;Salmeron;Comput. Stat. Data Anal.,2000

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1. Analysis of Ethnic Elements in Xinjiang Music Works Based on PPM Model under the Perspective of “One Belt, One Road;Applied Mathematics and Nonlinear Sciences;2023-07-17

2. Bayesian Network Structure Learning and Application;Mobile Information Systems;2022-06-28

3. The extended Recursive Noisy OR model: Static and dynamic considerations;International Journal of Approximate Reasoning;2021-12

4. Learning tractable NAT-modeled Bayesian networks;Annals of Mathematics and Artificial Intelligence;2021-05-20

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