Open Access
2012 Structural Learning about Directed Acyclic Graphs from Multiple Databases
Qiang Zhao
Abstr. Appl. Anal. 2012(SI10): 1-9 (2012). DOI: 10.1155/2012/579543


We propose an approach for structural learning of directed acyclic graphs from multiple databases. We first learn a local structure from each database separately, and then we combine these local structures together to construct a global graph over all variables. In our approach, we do not require conditional independence, which is a basic assumption in most methods.


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Qiang Zhao. "Structural Learning about Directed Acyclic Graphs from Multiple Databases." Abstr. Appl. Anal. 2012 (SI10) 1 - 9, 2012.


Published: 2012
First available in Project Euclid: 5 April 2013

zbMATH: 1256.68089
MathSciNet: MR3004915
Digital Object Identifier: 10.1155/2012/579543

Rights: Copyright © 2012 Hindawi

Vol.2012 • No. SI10 • 2012
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