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Model Selection and Error Estimation in a Nutshell Oneto 1st ed. 2020 edition
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Model Selection and Error Estimation in a Nutshell
Oneto
Statistical learning theory answers these questions by deriving non-asymptotic bounds on the generalization error of a model or, in other words, by upper bounding the true error of the learned model based just on quantities computed on the available data.
132 pages, 100 Tables, color; 62 Illustrations, black and white; XIII, 132 p. 62 illus.
| Medios de comunicación | Libros Book |
| Publicado | 25 de julio de 2019 |
| ISBN13 | 9783030243586 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 132 |
| Dimensiones | 150 × 220 × 20 mm · 385 g |
| Lengua | Alemán |
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