A Mathematical Programming approach to Binary Supervised Classification with Label Noise

21 Apr 2020Víctor BlancoAlberto JapónJusto Puerto

In this paper we propose novel methodologies to construct Support Vector Machine -based classifiers that takes into account that label noises occur in the training sample. We propose different alternatives based on solving Mixed Integer Linear and Non Linear models by incorporating decisions on relabeling some of the observations in the training dataset... (read more)

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