A Grey-Box Ensemble Model Exploiting Black-Box Accuracy and White-Box Intrinsic Interpretability

A Grey-Box Ensemble Model Exploiting Black-Box Accuracy and White-Box Intrinsic Interpretability

Machine learning has emerged as a key factor in many technological and scientific advances and applications. Much research has been devoted to developing high performance machine learning models, which are able to make very accurate predictions and decisions on a wide range of applications. Neverthe...

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Bibliographic Details
Main Authors: Emmanuel Pintelas, Ioannis E. Livieris, Panagiotis Pintelas
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Algorithms
Subjects:
explainable machine learning
interpretable machine learning
semi-supervised learning
self-training algorithms
ensemble learning
black, white and grey box models
Online Access:https://www.mdpi.com/1999-4893/13/1/17

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https://www.mdpi.com/1999-4893/13/1/17

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