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Computational Reconstruction of Missing Data in Biological Research - Springer Theses Feng Bao 1st ed. 2021 edition
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Computational Reconstruction of Missing Data in Biological Research - Springer Theses
Feng Bao
In this book, we introduce different types of biological data missing scenarios and propose machine learning models to improve the data analysis, including deep recurrent neural network recovery for feature missings, robust information theoretic learning for label missings and structure-aware rebalancing for minor sample missings.
105 pages, 41 Illustrations, color; 2 Illustrations, black and white; XVII, 105 p. 43 illus., 41 ill
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2021. gada 8. augusts |
| ISBN13 | 9789811630637 |
| Izdevēji | Springer Verlag, Singapore |
| Lapas | 105 |
| Izmēri | 150 × 220 × 10 mm · 203 g |
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