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Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy Vluymans 1st ed. 2019 edition
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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
| Médias | Livres Book |
| Validé | 5 décembre 2018 |
| ISBN13 | 9783030046620 |
| Éditeurs | Springer Nature Switzerland AG |
| Pages | 249 |
| Dimensions | 150 × 220 × 20 mm · 571 g |
| Langue et grammaire | Allemand |
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