Semisupervised Multiple Choice Learning for Ensemble Classification.
Sign Up to like & getrecommendations! Published in 2020 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2020.3016048
Abstract: Ensemble learning has many successful applications because of its effectiveness in boosting the predictive performance of classification models. In this article, we propose a semisupervised multiple choice learning (SemiMCL) approach to jointly train a network… read more here.
Keywords: choice learning; learning ensemble; semisupervised multiple; multiple choice ... See more keywords