Learning from incomplete data in Bayesian networks with qualitative influences

DOI10.1016/j.ijar.2015.11.004zbMath1344.68190OpenAlexW2178330977MaRDI QIDQ899463

Andrés R. Masegosa, A. J. Feelders, Linda C. van der Gaag

Publication date: 28 December 2015

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

Full work available at URL: https://doi.org/10.1016/j.ijar.2015.11.004

zbMATH Keywords

Bayesian networksEM algorithmmissing dataisotonic regressionparameter learningqualitative influences

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Bayesian networks for the test score prediction: a case study on a math graduation exam

Uses Software

• UCI-ml
• deal

Cites Work

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• On the convergence properties of the EM algorithm
• An algorithm for isotonic regression for two or more independent variables
• Learning Bayesian networks: The combination of knowledge and statistical data
• Isotonic regression via partitioning
• Learning Bayesian network parameters under incomplete data with domain knowledge
• Learning Bayesian network parameters under order constraints
• Lectures on Modern Convex Optimization
• A Fast Scaling Algorithm for Minimizing Separable Convex Functions Subject to Chain Constraints

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