Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy - Vluymans - Books - Springer Nature Switzerland AG - 9783030046620 - December 5, 2018
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Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy 1st ed. 2019 edition

Vluymans

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Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy 1st ed. 2019 edition

This book presents novel classification algorithms for four challenging prediction tasks, namely learning from imbalanced, semi-supervised, multi-instance and multi-label data.

249 pages, 10 Illustrations, color; 13 Illustrations, black and white; XVIII, 249 p. 23 illus., 10 i

Media Books     Book
Released December 5, 2018
ISBN13 9783030046620
Publishers Springer Nature Switzerland AG
Pages 249
Dimensions 571 g
Language German  

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