An analysis of diversity measures

DOI10.1007/s10994-006-9449-2zbMath1470.68188OpenAlexW2122892819MaRDI QIDQ851877

N. E. Zubov

Publication date: 22 November 2006

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

Full work available at URL: https://doi.org/10.1007/s10994-006-9449-2

zbMATH Keywords

classifier ensemblemargin distributionentropy measurediversity measuresmajority votecoincident failure diversitydisagreement measuredouble fault measuregeneralized diversityinterrater agreementKW variancemeasure of difficulty

Mathematics Subject Classification ID

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

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Cites Work

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• Bagging predictors
• Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
• Improved generalization through explicit optimization of margins
• Boosting the margin: a new explanation for the effectiveness of voting methods
• Boosting a weak learning algorithm by majority
• Soft margins for AdaBoost
• Random forests

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