Knowledge transfer for causal discovery

DOI10.1016/j.ijar.2021.12.010OpenAlexW4205279655MaRDI QIDQ2077008

Luis Enrique Sucar, Verónica Rodríguez-López

Publication date: 22 February 2022

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2021.12.010

zbMATH Keywords

Bayesian networkscausal discoverytransfer learningscored-based methodssubject-specific models

Mathematics Subject Classification ID

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

Uses Software

• pcalg
• bnlearn
• TETRAD
• JCI

Cites Work

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• Estimating the dimension of a model
• Learning Bayesian networks: The combination of knowledge and statistical data
• Inductive transfer for learning Bayesian networks
• Divergence measures based on the Shannon entropy
• 10.1162/153244303321897717
• Probabilistic graphical models. Principles and applications

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