Mixture correntropy for robust learning

作者：

Highlights：

• The novel concept of mixture correntropy is proposed.

• Some important properties of the mixture correntropy are presented.

• Applications of the mixture correntropy to extreme learning machine (ELM) and kernel adaptive filtering (KAF) are studied.

• Experimental results are provided to show the excellent performance of the developed new algorithms.

摘要

•The novel concept of mixture correntropy is proposed.•Some important properties of the mixture correntropy are presented.•Applications of the mixture correntropy to extreme learning machine (ELM) and kernel adaptive filtering (KAF) are studied.•Experimental results are provided to show the excellent performance of the developed new algorithms.

论文关键词：Correntropy,Mixture correntropy,Robust learning,Extreme learning machine,Kernel adaptive filtering

论文评审过程：Received 12 October 2017, Revised 2 February 2018, Accepted 10 February 2018, Available online 21 February 2018, Version of Record 26 February 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.02.010