Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks

Bayesian Networks (BNs) represent conditional probability relations among a set of random variables (nodes) in the form of a directed acyclic graph (DAG), and have found diverse applications in knowledge discovery. We study the problem of learning the sparse DAG structure of a BN from continuous obs...

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Veröffentlicht in:	Journal of machine learning research Jg. 24
Hauptverfasser:	Küçükyavuz, Simge, Shojaie, Ali, Manzour, Hasan, Wei, Linchuan, Wu, Hao-Hsiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 2023
Schlagworte:	Bayesian networks directed acyclic graphs Mixed-integer conic programming consistency early stopping criterion
ISSN:	1532-4435
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