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Minimum Divergence Methods in Statistical Machine Learning: From an Information Geometric Viewpoint Shinto Eguchi 1st ed. 2022 edition
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Minimum Divergence Methods in Statistical Machine Learning: From an Information Geometric Viewpoint
Shinto Eguchi
221 pages, 15 Illustrations, color; 3 Illustrations, black and white; X, 221 p. 18 illus., 15 illus.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2022. gada 16. marts |
| ISBN13 | 9784431569206 |
| Izdevēji | Springer Verlag, Japan |
| Lapas | 221 |
| Izmēri | 150 × 220 × 20 mm · 503 g |
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