Structural learning about directed acyclic graphs from multiple databases
type: Item
instance of: scholarly article
title: Structural learning about directed acyclic graphs from multiple databases
zbMATH Open document ID: 1256.68089
DOI: 10.1155/2012/579543
author: Qiang Zhao
published in: Abstract and Applied Analysis
publication date: 2013-02-04T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 68Q32
Mathematics Subject Classification ID: 68P15
Mathematics Subject Classification ID: 68R10
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6134118
describes a project that uses: TETRAD
MaRDI profile type: Publication
Wikidata QID: Q58695591
full work available at URL: https://doi.org/10.1155/2012/579543
OpenAlex ID: W2116405250
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description: scientific article; zbMATH DE number 6134118