Learning discrete Bayesian network parameters from continuous data streams: what is the best strategy?

DOI10.1016/J.JAL.2015.03.007zbMath1409.68240OpenAlexW2067720358MaRDI QIDQ901147

Marek J. Druzdzel, Parot Ratnapinda

Publication date: 23 December 2015

Published in: Journal of Applied Logic (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jal.2015.03.007

zbMATH Keywords

Bayesian networksEM algorithmparameter learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• UCI-ml

Cites Work

• Unnamed Item
• The EM algorithm for graphical association models with missing data
• A Bayesian method for the induction of probabilistic networks from data
• The computational complexity of probabilistic inference using Bayesian belief networks
• Knowledge Discovery from Data Streams
• On-line EM Algorithm for the Normalized Gaussian Network
• On Information and Sufficiency

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