Swamping and masking in Markov boundary discovery

DOI10.1007/s10994-016-5545-0zbMath1454.68123OpenAlexW2293199625MaRDI QIDQ1689549

Xinsheng Liu, Xu-Qing Liu

Publication date: 12 January 2018

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-016-5545-0

zbMATH Keywords

maskingswampingMarkov boundaryBayesian networkMarkov blanket

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Probabilistic graphical models (62H22)

Cites Work

• The max-min hill-climbing Bayesian network structure learning algorithm
• Towards scalable and data efficient learning of Markov boundaries
• Learning Bayesian networks from data: An information-theory based approach
• Conservative independence-based causal structure learning in absence of adjacency faithfulness
• An optimization-based approach for the design of Bayesian networks
• 10.1162/153244303322753616
• Elements of Information Theory
• Some Methods for Strengthening the Common χ 2 Tests
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