Streaming feature-based causal structure learning algorithm with symmetrical uncertainty

DOI10.1016/j.ins.2018.04.076zbMath1441.68217OpenAlexW2800399240WikidataQ129899598 ScholiaQ129899598MaRDI QIDQ2200619

Kui Yu, Ning An, Xiaoxue Guo, Jing Yang, Aiguo Wang

Publication date: 22 September 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2018.04.076

zbMATH Keywords

Bayesian networkscausal structure learningsymmetrical uncertaintystreaming features

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37) Online algorithms; streaming algorithms (68W27)

Related Items (2)

Additive noise model structure learning based on rank correlation ⋮ Online feature selection for multi-source streaming features

Uses Software

• TETRAD

Cites Work

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• A Mathematical Theory of Communication
• 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
• Learning Bayesian networks from data: An information-theory based approach

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