Open Access
Issue |
ITM Web Conf.
Volume 45, 2022
2021 3rd International Conference on Computer Science Communication and Network Security (CSCNS2021)
|
|
---|---|---|
Article Number | 01012 | |
Number of page(s) | 11 | |
Section | Computer Technology and System Design | |
DOI | https://doi.org/10.1051/itmconf/20224501012 | |
Published online | 19 May 2022 |
- Pearl J. Fusion, propagation, and structuring in belief networks [J]. Artificial Intelligence, 1986(3):241-288. [Google Scholar]
- Zhang Lianwen. Introduction to Bayesian Nets [M]. Science Press, 2006. [Google Scholar]
- Cooper G F. The computational complexity of probabilistic inference using bayesian belief networks [J]. Artificial Intelligence, 1990, 42 (2):393-405. [CrossRef] [MathSciNet] [Google Scholar]
- Amestoy P R, Davis T A, Duff I S. Algorithm 837: AMD, an approximate minimum degree ordering algorithm [J]. ACM Transactions on Mathematical Software, 2004, 30(3):381-388. [CrossRef] [MathSciNet] [Google Scholar]
- Berry A, Blair J R S, Heggernes P, et al. Maximum cardinality search for computing minimal triangulations of graphs [J]. Algorithmica (New York), 2004, 39 (4):287-298. [Google Scholar]
- Gao Wenyu, Zhang Li. Approximate construction algorithm for Bayesian net optimal elimination order [J]. Journal of Computer Applications, 2011, 31 (08):2072-2074. [Google Scholar]
- Li Jianchuan. Bayesian network fault diagnosis and maintenance decision-making method and application research [D]. National University of Defense Technology of the Chinese People’s Liberation Army, 2002. [Google Scholar]
- Zhang N L. Hierarchical latent class models for cluster analysis [Z]. 2002230-237. [Google Scholar]
- Xiang Guangjun, Kong Bing, Ou Jiaqin. Research on Parallelization of Bayesian Network VE Inference Algorithm [J]. Journal of Yunnan University (Natural Science Edition), 2010, 32 (04):392-395. [Google Scholar]
- Zhang N L, Poole D. Exploiting Causal Independence in Bayesian Network Inference [J]. CoRR, 1996. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.