Classification using hierarchical naïve Bayes models

DOI10.1007/s10994-006-6136-2zbMath1470.62088OpenAlexW2158773875MaRDI QIDQ851860

Helge Langseth, Thomas D. Nielsen

Publication date: 22 November 2006

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

Full work available at URL: https://doi.org/10.1007/s10994-006-6136-2

zbMATH Keywords

classificationhierarchical modelsnaïve Bayes models

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• UCI-ml
• C4.5
• TETRAD
• MLC++

Cites Work

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• Probability propagation
• On the optimality of the simple Bayesian classifier under zero-one loss
• Bayesian network classifiers
• Adaptive probabilistic networks with hidden variables
• Inference for the generalization error
• On the deficiencies of composite entire functions
• Approximating discrete probability distributions with dependence trees

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