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Grey-Box Model: An ensemble approach for addressing semi-supervised classification problems Host Publication: Benelearn 2016 Authors: I. Del Carmen Grau Garcia, D. Sengupta, M. M. Garcia Lorenzo and A. Nowé Publication Date: Sep. 2016 Number of Pages: 3
Abstract: In this paper, we propose a novel and interpretable grey-box ensemble using a self-labeled approach for semi-supervised classification problems. The prospective grey-box ensembles a more interpretable white-box model with a black-box technique. This scheme could guide the comparatively data expensive white-box component with the results from the more accurate black-box part. We evaluate the proposal in an inductive learning setting showing good performance in partially labeled datasets. External Link.
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