An edition of Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods (2018)

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

by Sarah Vluymans

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February 28, 2022 | History

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An edition of Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods (2018)

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

by Sarah Vluymans

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Publish Date

Nov 24, 2018

Publisher

Springer

Pages

249

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1 Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods Nov 24, 2018, Springer hardcover 3030046621 9783030046620	aaaa Locate

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Book Details

Edition Notes

Source title: Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods (Studies in Computational Intelligence)

Classifications

Library of Congress: Q342

The Physical Object

Format: hardcover
Number of pages: 249

ID Numbers

Open Library: OL28206674M
ISBN 10: 3030046621
ISBN 13: 9783030046620

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Created June 6, 2020
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February 28, 2022	Edited by ImportBot	import existing book
June 6, 2020	Created by ImportBot	import new book

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

by Sarah Vluymans