arXiv Machine Learning July 30, 2026 By Loong Kuan Lee, Ragavi Krishnamoorthy, Nico Piatkowski

High-Order Markov Blanket Discovery via a k-Order Relaxation of the Faithfulness Assumption

Read the original on arXiv Machine Learning →

arXiv:2607. 26357v1 Announce Type: new Abstract: The problem of learning the graphical Markov blanket (MB) of a variable from data has applications in many areas such as structure learning for Bayesian networks and Markov random fields, causal discovery, and feature selection.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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