Progressive subspace ensemble learning

作者：

Highlights：

• Progressive subspace ensemble learning.

• It takes into account the data sample space and the feature space at the same time.

• A progressive selection process based on new cost functions that incorporate current and long-term information to select the classifiers sequentially will be introduced.

摘要

Highlights•Progressive subspace ensemble learning.•It takes into account the data sample space and the feature space at the same time.•A progressive selection process based on new cost functions that incorporate current and long-term information to select the classifiers sequentially will be introduced.

论文关键词：Ensemble learning,Classifier ensemble,Random subspace,AdaBoost,Decision tree

论文评审过程：Received 16 July 2015, Revised 15 May 2016, Accepted 19 June 2016, Available online 21 June 2016, Version of Record 16 July 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.06.017