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Subset selection for tuning of hyper-parameters in artificial neural networks
(IEEE, 2017)
Hyper-parameters of a machine learning architecture define its design. Tuning of hyper-parameters is costly and for large data sets outright impractical, whether it is performed manually or algorithmically. In this study ...