TITLE

# Structural Learning about Directed Acyclic Graphs from Multiple Databases

AUTHOR(S)
Qiang Zhao
PUB. DATE
January 2012
SOURCE
Abstract & Applied Analysis;2012, p1
SOURCE TYPE
DOC. TYPE
Article
ABSTRACT
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.
ACCESSION #
85039630

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