Efficient implementation of class-based decomposition schemes for naïve Bayes

DOI10.1007/S10994-013-5430-ZzbMath1317.68180DBLPjournals/ml/ParkF14OpenAlexW2008616344WikidataQ59195217 ScholiaQ59195217MaRDI QIDQ479479

Johannes Fürnkranz, Sang-Hyeun Park

Publication date: 5 December 2014

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

Full work available at URL: https://doi.org/10.1007/s10994-013-5430-z

zbMATH Keywords

scalabilitynaïve Bayeserror-correcting output codes

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• WEKA
• ECOC

Cites Work

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• Efficient prediction algorithms for binary decomposition techniques
• On the optimality of the simple Bayesian classifier under zero-one loss
• Not so naive Bayes: Aggregating one-dependence estimators
• PAV and the ROC convex hull
• 10.1162/15324430152733133
• On a class of error correcting binary group codes
• 10.1162/153244302320884605
• 10.1162/153244303322753670

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