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Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy Vluymans 1st ed. 2019 edition
Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy
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
| Media | Książki Book |
| Wydane | 5 grudnia 2018 |
| ISBN13 | 9783030046620 |
| Wydawcy | Springer Nature Switzerland AG |
| Strony | 249 |
| Wymiary | 150 × 220 × 20 mm · 553 g |
| Język | Niemiecki |
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