Machine Learning Methods with Noisy, Incomplete or Small Datasets

In many machine learning applications, available datasets are sometimes incomplete, noisy or affected by artifacts. In supervised scenarios, it could happen that label information has low quality, which might include unbalanced training sets, noisy labels and other problems. Moreover, in practice, i...

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Bibliografski detalji
Daljnji autori: Solé-Casals, Jordi (Urednik), Sun, Zhe (Urednik), Caiafa, Cesar F. (Urednik), Marti-Puig, Pere (Urednik), Tanaka, Toshihisa (Urednik)
Format: Elektronički Poglavlje knjige
Jezik:engleski
Izdano: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
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