From dynamic influence nets to dynamic Bayesian networks: A transformation algorithm-Reference-Cited by-同舟云学术

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From dynamic influence nets to dynamic Bayesian networks: A transformation algorithm

Published:2009-08 Issue:8 Volume:24 Page:919-933
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int. J. Intell. Syst.

Author:

Haider Sajjad

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/int.20367/fullpdf

Reference33 articles.

1. Bayesian Network Technologies

2. Bayesian Networks

3. Murphy K. Dynamic Bayesian networks: Representation, inference and learning, PhD Thesis, University of California, Berkley, 2002.

4. Boyen X, Koller D. Tractable inference for complex stochastic processes. In: Proc Conf Uncertainty in Artificial Intelligence, Madison, WI, 1998. pp 33-42.

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2. Optimization framework and applications of training multi-state influence nets;Applied Intelligence;2021-05-22

3. Dynamic Bayesian Network Modeling, Learning, and Inference: A Survey;IEEE Access;2021

4. Sensitivity analysis on causal chains of Bayesian networks;International Journal of Intelligent Systems;2011-05-31

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