Efficient probabilistic inference in Bayesian networks with multi-valued NIN-AND tree local models-Reference-Cited by-同舟云学术

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Efficient probabilistic inference in Bayesian networks with multi-valued NIN-AND tree local models

Published:2017-08 Issue: Volume:87 Page:67-89
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Xiang Yang^ORCID,Jin Yiting

Funder

NSERC

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference20 articles.

1. Multiplicative factorization of multi-valued NIN-AND tree models;Xiang,2016

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

3. Modeling dynamic causal interaction with Bayesian networks: temporal noisy gates;Galan,2000

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

5. Recursive noisy OR – a rule for estimating complex probabilistic interactions;Lemmer;IEEE Trans. Syst. Man Cybern., Part B, Cybern.,2004

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

2. Trans-Causalizing NAT-Modeled Bayesian Networks;IEEE Transactions on Cybernetics;2020

3. Direct causal structure extraction from pairwise interaction patterns in NAT modeling Bayesian networks;International Journal of Approximate Reasoning;2019-02

4. De-Causalizing NAT-Modeled Bayesian Networks for Inference Efficiency;Advances in Artificial Intelligence;2018

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