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Hyperparameter optimization in machine learning is a critical task that aims to find the hyper-parameters of a given machine learning algorithm that provide the best performance measured on a validation set. Unlike model parameters, the ma-chine lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::132e5b6a60bc382ec85165ba9a07c260
Autor:
Hernández, G., Hernández, C. J. B., Díaz, G., Garino, C. G., Sergio Nesmachnow, Pérez-Acle, T., Storti, M., Vázquez, M.
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::535957a739fcf9614083d4891ce524f1
http://www.scopus.com/inward/record.url?eid=2-s2.0-84908626537&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84908626537&partnerID=MN8TOARS