Instance selection for regression by discretization

作者：

Highlights：

• A new technique for instance selection and noise filtering for regression is proposed.

• The method use instance selection for classification after output value discretization.

• The method is much simpler and more robust to noise than other specifically designed for regression.

摘要

•A new technique for instance selection and noise filtering for regression is proposed.•The method use instance selection for classification after output value discretization.•The method is much simpler and more robust to noise than other specifically designed for regression.

论文关键词：Instance selection,Regression,Mutual information,Noise filtering,Class noise

论文评审过程：Received 6 April 2015, Revised 29 December 2015, Accepted 30 December 2015, Available online 28 January 2016, Version of Record 23 February 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.12.046