Less Is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2886341
Abstract: The number of component classifiers chosen for an ensemble greatly impacts the prediction ability. In this paper, we use a geometric framework for a priori determining the ensemble size, which is applicable to most of… read more here.
Keywords: number; ensemble size; less comprehensive; number components ... See more keywords