Minimally overfitted learners: A general framework for ensemble learning

作者：

Highlights：

• New ensemble general framework.

• A novel concept of ensemble learners is introduced.

• Minimal overfitted models and limited learners are defined.

• The framework works with any base machine learning training algorithm.

• The proposal compares successfully to well known ensemble approaches.

摘要

•New ensemble general framework.•A novel concept of ensemble learners is introduced.•Minimal overfitted models and limited learners are defined.•The framework works with any base machine learning training algorithm.•The proposal compares successfully to well known ensemble approaches.

论文关键词：Ensemble,Generative ensembles,Re-sampling,Bagging,Random forest

论文评审过程：Received 19 April 2022, Revised 20 July 2022, Accepted 7 August 2022, Available online 12 August 2022, Version of Record 17 August 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.109669