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Hidden Markov Models and Applications - Unsupervised and Semi-Supervised Learning 2022 edition
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Hidden Markov Models and Applications - Unsupervised and Semi-Supervised Learning
This book focuses on recent advances, approaches, theories, and applications related Hidden Markov Models (HMMs). The book also reports advances on classic but difficult problems in HMMs such as inference and feature selection and describes real-world applications of HMMs from several domains.
298 pages, 149 Illustrations, color; 8 Illustrations, black and white; X, 298 p. 157 illus., 149 ill
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2022. gada 20. maijs |
| ISBN13 | 9783030991418 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 298 |
| Izmēri | 150 × 220 × 20 mm · 685 g |
| Valoda | Vācu |
| Redaktors | Amayri, Manar |
| Redaktors | Bouguila, Nizar |
| Redaktors | Fan, Wentao |
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