Cost-effectiveness of classification ensembles
作者：
Highlights：
• Proposed accrual function compares two ensembles on the basis of performance and size.
• It returns a single numerical value as the result of comparison.
• It can be parameterized to bias towards smaller size/high performance ensembles.
• Its utility is demonstrated by applying the function to select published results.
• Applications with memory constraints can bias the choice to smaller ensembles.
摘要
Highlights•Proposed accrual function compares two ensembles on the basis of performance and size.•It returns a single numerical value as the result of comparison.•It can be parameterized to bias towards smaller size/high performance ensembles.•Its utility is demonstrated by applying the function to select published results.•Applications with memory constraints can bias the choice to smaller ensembles.
论文关键词：Ensemble,Ensemble pruning,Cost-effectiveness
论文评审过程：Received 9 January 2015, Revised 26 May 2015, Accepted 12 March 2016, Available online 21 March 2016, Version of Record 6 May 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2016.03.017
