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Autor:
Knoblauch, Andreas, Luniak, Philipp
Machine learning models for classification and segmentation typically use loss functions based on binary or categorical cross entropy (BCE/CCE). Recent work has pointed out that cross entropy is not always optimal for maximizing accuracy of classific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d99c5b13dff6dc7d4518087fd6c57519
