Machine Learning Methods with Noisy, Incomplete or Small Datasets - Couverture rigide

 
9783036512884: Machine Learning Methods with Noisy, Incomplete or Small Datasets
Couverture rigide
ISBN 10 : 3036512888 ISBN 13 : 9783036512884
Editeur : Mdpi AG, 2021

Synopsis

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, it is very common that available data samples are not enough to derive useful supervised or unsupervised classifiers. All these issues are commonly referred to as the low-quality data problem. This book collects novel contributions on machine learning methods for low-quality datasets, to contribute to the dissemination of new ideas to solve this challenging problem, and to provide clear examples of application in real scenarios.

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Éditeur
Mdpi AG
Date d'édition
2021
Langue
anglais
ISBN 10 
3036512888
ISBN 13 
9783036512884
Reliure
Relié
Nombre de pages
316
Éditeur
Solé-Casals Jordi, Sun Zhe, Caiafa Cesar F
Coordonnées du fabricant
non disponible
Personne responsable
gpsr@libri.de
gpsr@libri.de

Friedensallee 273
Hamburg
22763
Allemagne