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Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198052
Anomaly detection can be conceived either through generative modelling of regular training data or by discriminating with respect to negative training data. These two approaches exhibit different failure modes. Consequently, hybrid algorithms present
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9335528c0b767525b3e3426ee1fa70a7
https://www.bib.irb.hr/1236654
https://www.bib.irb.hr/1236654
Publikováno v:
Sensors, Vol 24, Iss 4, p 1248 (2024)
Standard machine learning is unable to accommodate inputs which do not belong to the training distribution. The resulting models often give rise to confident incorrect predictions which may lead to devastating consequences. This problem is especially
Externí odkaz:
https://doaj.org/article/1e0f819a0d6d46c58b7b716cc7615056