Online local pool generation for dynamic classifier selection
作者：
Highlights：
• An online local pool generation method for Dynamic Classifier Selection is proposed.
• The method produces locally accurate classifiers for instances in overlap regions.
• Results show a competent classifier is more often selected when using the local pool.
• The proposed method also outperforms Bagging and a globally generated pool.
摘要
•An online local pool generation method for Dynamic Classifier Selection is proposed.•The method produces locally accurate classifiers for instances in overlap regions.•Results show a competent classifier is more often selected when using the local pool.•The proposed method also outperforms Bagging and a globally generated pool.
论文关键词：Multiple classifier systems,Instance hardness,Pool generation,Dynamic classifier selection
论文评审过程：Received 14 May 2018, Accepted 1 August 2018, Available online 10 August 2018, Version of Record 18 August 2018.
论文官网地址：https://doi.org/10.1016/j.patcog.2018.08.004
