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A survey on Bayesian network structure learning from data

Mauro Scanagatta, A. Salmerón, Fabio Stella

2019.5.29Progress in Artificial Intelligence

DOI: 10.1007/s13748-019-00194-y

tlooto Summary

In this survey, the most relevant structure learning algorithms that have been proposed in the literature are reviewed according to the approach they follow for solving the problem and alternatives for handling missing data and continuous variable are shown.

Abstract

Abstract is not available.

Citation format

SCANAGATTA, Mauro; SALMERÓN, A.; STELLA, Fabio. A survey on bayesian network structure learning from data. Progress in Artificial Intelligence, 2019, 8: 425–439.