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

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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 150 × 220 × 20 mm   ·   571 g
Language German  

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