Upper-lower bounds candidate sets searching algorithm for Bayesian network structure learning
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Publication:1718795
DOI10.1155/2014/625173zbMath1407.68403OpenAlexW2113568591WikidataQ59066671 ScholiaQ59066671MaRDI QIDQ1718795
Tao Song, Guangyi Liu, Dalong Zhang, Ou Li
Publication date: 8 February 2019
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2014/625173
Estimation in multivariate analysis (62H12) Learning and adaptive systems in artificial intelligence (68T05)
Uses Software
Cites Work
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- The max-min hill-climbing Bayesian network structure learning algorithm
- Causation, prediction, and search
- A Bayesian method for the induction of probabilistic networks from data
- A characterization of Markov equivalence classes for acyclic digraphs
- Learning Bayesian networks: The combination of knowledge and statistical data
- Maximal prime subgraph decomposition of Bayesian networks: A relational database perspective
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