Classification Uncertainty Minimization-based Semi-supervised Ensemble Learning Algorithm

Semi-supervised ensemble learning(SSEL) is a combinatorial paradigm by fusing semi-supervised learning and ensemble learning together,which improves the diversity of ensemble learning by introducing unlabeled samples and at the same time solves the problem of insufficient sample size for ensemble le...

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Glavni avtor:	HE Yulin, ZHU Penghui, HUANG Zhexue, Fournier-Viger PHILIPPE
Format:	Artigo
Jezik:	Chinês
Izdano:	Editorial office of Computer Science 2023-10-01
Serija:	Jisuanji kexue
Teme:	semi-supervised ensemble learning| ensemble learning|semi-supervised learning|classification uncertainty|confidence|information entropy
Online dostop:	https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2023-50-10-88.pdf
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