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Uncertainty Quantification and Uncertainty Propagation under Traditional and AI-Based Data Processing (and Related Topics): Legacy of Grigory Tseytin - Studies in Systems, Decision and Control
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Uncertainty Quantification and Uncertainty Propagation under Traditional and AI-Based Data Processing (and Related Topics): Legacy of Grigory Tseytin - Studies in Systems, Decision and Control
We need to revisit traditional methods for quantifying and propagating uncertainty, to see how they can help with these new challenges.The book covers uncertainty of measurement results and uncertainty inherent in natural-languages text -- by using both linguistic and traditional AI techniques (e.g., fuzzy).
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2026. gada 17. jūlijs |
| ISBN13 | 9783032164933 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 351 |
| Izmēri | 150 × 220 × 20 mm · 709 g |
| Valoda | Vācu |
| Redaktors | Dantsin, Evgeny |
| Redaktors | Kreinovich, Vladik |
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