Isel Del Carmen Grau Garcia, Isel Del Carmen Grau Garcia, Dipankar Sengupta, Dipankar Sengupta, Maria M. Garcia Lorenzo, Maria M. Garcia Lorenzo, Ann Nowe, Ann Nowe
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.
Grau Garcia, IDC, Sengupta, D, Garcia Lorenzo, MM & Nowe, A 2016, Grey-Box Model: An ensemble approach for addressing semi-supervised classification problems. in Proceedings of the 25th Belgian-Dutch Conference on Machine Learning BENELEARN 2016. pp. 1-3, 25th Belgian-Dutch Conference on Machine Learning, Kortrijk, Belgium, 12/09/16. <https://www.kuleuven-kulak.be/benelearn/papers/Benelearn_2016_paper_45.pdf>
Grau Garcia, I. D. C., Sengupta, D., Garcia Lorenzo, M. M., & Nowe, A. (2016). Grey-Box Model: An ensemble approach for addressing semi-supervised classification problems. In Proceedings of the 25th Belgian-Dutch Conference on Machine Learning BENELEARN 2016 (pp. 1-3) https://www.kuleuven-kulak.be/benelearn/papers/Benelearn_2016_paper_45.pdf
@inproceedings{1e62f7ad38d34c2097e699a52b4ca441,
title = "Grey-Box Model: An ensemble approach for addressing semi-supervised classification problems",
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.",
keywords = "ensemble classifiers, semi-supervised classification, interpretability",
author = "\{Grau Garcia\}, \{Isel Del Carmen\} and Dipankar Sengupta and \{Garcia Lorenzo\}, \{Maria M.\} and Ann Nowe",
year = "2016",
month = sep,
day = "12",
language = "English",
pages = "1--3",
booktitle = "Proceedings of the 25th Belgian-Dutch Conference on Machine Learning BENELEARN 2016",
note = "25th Belgian-Dutch Conference on Machine Learning, BENELEARN 2016 ; Conference date: 12-09-2016 Through 13-09-2016",
url = "https://www.kuleuven-kulak.be/benelearn/index.html",
}