Investigating the impact of selection criteria in dynamic ensemble selection methods
作者：
Highlights：
• Present three dynamic ensemble selection (DES) methods.
• Evaluate the impact of proximity measures in DES methods.
• Perform an empirical analysis with one-step and two-step DES methods.
• Obtain the best results of the empirical analysis with two-step DES methods.
• Obtain similar results of the empirical analysis with the use of proximity measures.
摘要
•Present three dynamic ensemble selection (DES) methods.•Evaluate the impact of proximity measures in DES methods.•Perform an empirical analysis with one-step and two-step DES methods.•Obtain the best results of the empirical analysis with two-step DES methods.•Obtain similar results of the empirical analysis with the use of proximity measures.
论文关键词：Ensemble of classifiers,Distance measures,Dynamic ensemble systems
论文评审过程：Received 19 December 2017, Revised 22 February 2018, Accepted 2 April 2018, Available online 5 April 2018, Version of Record 25 April 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.04.002
