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Machine Learning Methods for Scientific Data Compression Xiao Li
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Machine Learning Methods for Scientific Data Compression
Xiao Li
This groundbreaking book delivers an essential exploration into the rapidly evolving field of data reduction for scientific applications. It introduces novel machine learning approaches that are all designed to achieve unprecedented compression ratios while rigorously guaranteeing the accuracy of both primary data and quantities of interest.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Pendiente de lanzamiento | 25 de noviembre de 2026 |
| ISBN13 | 9781041229766 |
| Editores | Taylor & Francis Ltd |
| Páginas | 208 |
| Dimensiones | 150 × 220 × 20 mm · 450 g (Peso (estimado)) |
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