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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
Vluymans
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
Medie | Bøger Bog |
Udgivet | 5. december 2018 |
ISBN13 | 9783030046620 |
Forlag | Springer Nature Switzerland AG |
Antal sider | 249 |
Mål | 571 g |
Sprog | Tysk |
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