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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Diğer Yazarlar: | , , , , |
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Materyal Türü: | Elektronik Kitap Bölümü |
Dil: | İngilizce |
Baskı/Yayın Bilgisi: |
Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
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Konular: | |
Online Erişim: | DOAB: download the publication DOAB: description of the publication |
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Internet
DOAB: download the publicationDOAB: description of the publication
3rd Floor Main Library
Yer Numarası: |
A1234.567 |
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Kopya Bilgisi 1 | Kütüphanede |