Machine Learning Methods with Noisy, Incomplete or Small Datasets - Rilegato

 
9783036512884: Machine Learning Methods with Noisy, Incomplete or Small Datasets
Rilegato
ISBN 10: 3036512888 ISBN 13: 9783036512884
Casa editrice: MDPI AG, 2021

Sinossi

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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Editore
MDPI AG
Data di pubblicazione
2021
Lingua
Inglese
ISBN 10 
3036512888
ISBN 13 
9783036512884
Rilegatura
Copertina rigida
Numero di pagine
316
Redattore
Solé-Casals Jordi, Sun Zhe, Caiafa Cesar F
Contatto del produttore
non disponibile
Persona responsabile
gpsr@libri.de
gpsr@libri.de

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