META-DES: A dynamic ensemble selection framework using meta-learning

作者：

Highlights：

• We propose a novel dynamic ensemble selection framework using meta-learning.

• We present five sets of meta-features to measure the competence of a classifier.

• Results demonstrate the proposed framework outperforms current techniques.

摘要

Highlights•We propose a novel dynamic ensemble selection framework using meta-learning.•We present five sets of meta-features to measure the competence of a classifier.•Results demonstrate the proposed framework outperforms current techniques.

论文关键词：Ensemble of classifiers,Dynamic ensemble selection,Meta-learning,Classifier competence

论文评审过程：Received 9 April 2014, Revised 24 October 2014, Accepted 2 December 2014, Available online 12 December 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.12.003