Learning iteratively a classifier with the Bayesian model averaging principle

DOI10.1016/J.PATCOG.2007.07.010zbMath1132.68661OpenAlexW2003312315MaRDI QIDQ2462583

Rudy Sicard, Thierry Artières, Eric Petit

Publication date: 30 November 2007

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2007.07.010

zbMATH Keywords

Bayesian model averagingstatistical classificationNaïve Bayes classifierpoint estimate approximation

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Cites Work

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• On the optimality of the simple Bayesian classifier under zero-one loss
• Bayesian model averaging: A tutorial. (with comments and a rejoinder).
• Not so naive Bayes: Aggregating one-dependence estimators
• 10.1162/153244301753683717
• Random forests

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