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Machine Learning and Mathematical Models in Evolutionary Biology: Insights, Innovations, and Applications - Computational Biology
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Machine Learning and Mathematical Models in Evolutionary Biology: Insights, Innovations, and Applications - Computational Biology
It discusses the background ideas regarding evolutionary theory, population behavior and computation, and advances to the current topics of evolutionary algorithms, nonlinear modeling, and data-driven analysis.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Tiks izlaists | 2026. gada 17. oktobris |
| ISBN13 | 9783032258502 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 385 |
| Izmēri | 150 × 220 × 20 mm · 610 g (Svars (aptuveni)) |
| Redaktors | Awasthi, Mukesh Kumar |
| Redaktors | Singh, Satyvir |
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