Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods

Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods Login for the JSON version of this page.

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Title: Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods
ISBN-10: 3-030-04662-1
ISBN-13: 978-3-030-04662-0
Author(s): Sarah Vluymans
Publisher: Springer
Published: 2018
Format: hardcover
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Pages: 241
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Description

Metadata

EAN: 9783030046620
ASIN: 3030046621
Prefix: 978
Group: 3
Group Name: German language
Group Identifier: 978-3
Registrant: 030
Publication: 04662
Check Digit: 0
Formatted: 978-3-030-04662-0

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