Inductive transfer for learning Bayesian networks

DOI10.1007/s10994-009-5160-4zbMath1470.68140OpenAlexW2051361808MaRDI QIDQ1959576

Roger Luis, L. Enrique Sucar, Eduardo F. Morales

Publication date: 7 October 2010

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-009-5160-4

zbMATH Keywords

Bayesian networksstructure learningparameter learninginductive transfer

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Probabilistic graphical models (62H22)

Related Items (3)

Exact estimation of multiple directed acyclic graphs ⋮ Multi-task transfer learning for Bayesian network structures ⋮ Knowledge transfer for causal discovery

Uses Software

• TETRAD

Cites Work

• Unnamed Item
• Inductive transfer with context-sensitive neural networks
• Causation, prediction, and search
• A Bayesian method for the induction of probabilistic networks from data
• A Bayesian/information theoretic model of learning to learn via multiple task sampling
• Adaptive probabilistic networks with hidden variables
• Combining probability distributions: a critique and an annotated bibliography. With comments, and a rejoinder by the authors

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