Multi-task transfer learning for Bayesian network structures

DOI10.1007/978-3-030-86772-0_16OpenAlexW4287441095MaRDI QIDQ2146021

Philippe Leray, Montassar Ben Messaoud, Fayrouz Sakly, Sarah Benikhlef, Guillaume Raschia

Publication date: 15 June 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-86772-0_16

zbMATH Keywords

Bayesian networksstructure learningmulti-task learningtransfer learning

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Uses Software

• TETRAD

Cites Work

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• The max-min hill-climbing Bayesian network structure learning algorithm
• Causation, prediction, and search
• Inductive transfer for learning Bayesian networks
• A Bayesian hierarchical score for structure learning from related data sets
• Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation
• Bayesian network modeling of the consensus between experts: an application to neuron classification
• PrivBayes

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