Machine Learning Methods with Noisy, Incomplete or Small Datasets

Language: English

Published by MDPI AG, 2021

3036512888 / 9783036512884

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9783036512884

Title
Machine Learning Methods with Noisy, Incomplete or Small Datasets
Publisher
MDPI AG
Publication year
2021
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3036512888
ISBN 13
9783036512884
Item weight
990 grams
Dimensions
250x175x25 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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First itemUS$ 39.22US$ 50.43
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Einbeck, Germany 37574