Learning Parameters in Canonical Models Using Weighted Least Squares

DOI10.1007/978-3-319-11433-0_24zbMath1443.68151OpenAlexW245982191MaRDI QIDQ2938420

Marek J. Druzdzel, Krzysztof Jan Nowak

Publication date: 14 January 2015

Published in: Probabilistic Graphical Models (Search for Journal in Brave)

Full work available at URL: https://zenodo.org/record/890998

zbMATH Keywords

Bayesian networksweighted least squaresparameter learningcanonical modelsnoisy-MAX gates

Mathematics Subject Classification ID

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

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