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pro vyhledávání: '"Saleki, Maryam"'
Autonomous and semi-autonomous systems are using deep learning models to improve decision-making. However, deep classifiers can be overly confident in their incorrect predictions, a major issue especially in safety-critical domains. The present study
Externí odkaz:
http://arxiv.org/abs/2412.03391
Publikováno v:
In Expert Systems With Applications 15 March 2025 265
Deep neural networks are often ignorant about what they do not know and overconfident when they make uninformed predictions. Some recent approaches quantify classification uncertainty directly by training the model to output high uncertainty for the
Externí odkaz:
http://arxiv.org/abs/2006.04183
Autor:
Saleki, Maryam
Bazı uygulamalarda, akıllı etmenler kararlarını vermek için sınıflandırma algoritmalarına güvenir ve tahminlerinin doğruluğu görevlerini başarıyla yerine getirmede önemli bir rol oynayabilir. Derin sinir ağları birçok sınıfland
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10208::7782dec61013da5bc06afa95dde1474e
https://acikbilim.yok.gov.tr/handle/20.500.12812/103419
https://acikbilim.yok.gov.tr/handle/20.500.12812/103419
Universiẗat, FB Medizin, Diss.--Hamburg, 2006.