Parallel globally optimal structure learning of Bayesian networks

DOI10.1016/j.jpdc.2013.04.001zbMath1327.68198OpenAlexW2021368287MaRDI QIDQ897373

Srinivas Aluru, Olga Nikolova, Jaroslaw Zola

Publication date: 18 December 2015

Published in: Journal of Parallel and Distributed Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jpdc.2013.04.001

zbMATH Keywords

Bayesian networksparallel algorithmmachine learninggraphical modelsstructure learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Parallel algorithms in computer science (68W10)

Related Items (1)

Optimal Boolean lattice-based algorithms for the U-curve optimization problem

Uses Software

• SynTReN

Cites Work

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• Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move
• A Bayesian method for the induction of probabilistic networks from data
• Estimating the dimension of a model
• Being Bayesian about network structure. A Bayesian approach to structure discovery in Bayesian networks
• Learning Bayesian networks: The combination of knowledge and statistical data
• Elements of Information Theory

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