Domains of competence of the semi-naive Bayesian network classifiers

DOI10.1016/j.ins.2013.10.007zbMath1328.68162OpenAlexW1976594146MaRDI QIDQ903594

M. Julia Flores, Ana M. Martínez, José A. Gámez

Publication date: 14 January 2016

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2013.10.007

zbMATH Keywords

discretizationnaive Bayescomplexity measuresAODEdomains of competencesemi-naive Bayesian network classifiers

Mathematics Subject Classification ID

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

Uses Software

• UCI-ml
• JStatCom
• WEKA
• KEEL
• MULAN
• C4.5

Cites Work

• Multi-dimensional classification with Bayesian networks
• On the optimality of the simple Bayesian classifier under zero-one loss
• Bayesian network classifiers
• Not so naive Bayes: Aggregating one-dependence estimators
• HODE: Hidden One-Dependence Estimator
• 10.1162/153244303322753616
• Approximating discrete probability distributions with dependence trees
• A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms
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