A framework for dynamic classifier selection oriented by the classification problem difficulty.

Andre L. Brun,Alceu S. Britto Jr.,Luiz S. Oliveira,Fabrício Enembreck,Robert Sabourin

Pattern Recognition（2018）

引用 41|浏览35

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摘要

•Framework for dynamic classifier selection oriented by the classification difficulty.•Pool generation considering a better coverage of the problem complexity space.•Classifier selection based on meta-features related to the problem complexity.

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关键词

Multiple classifier systems,Classifier pool generation,Dynamic classifiers selection,Classification problem difficulty

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