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Automated Design of Machine Learning and Search Algorithms - Natural Computing Series 2021 edition
Automated Design of Machine Learning and Search Algorithms - Natural Computing Series
Also covered are automated generation of constructive and perturbative low-level heuristics, selection hyper-heuristics for automated design, automated design of deep-learning approaches using hyper-heuristics, genetic programming hyper-heuristics with transfer knowledge and automated design of classification algorithms.
187 pages, 28 Illustrations, color; 14 Illustrations, black and white; XVIII, 187 p. 42 illus., 28 i
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 29 de julio de 2022 |
| ISBN13 | 9783030720711 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 187 |
| Dimensiones | 150 × 220 × 10 mm · 299 g |
| Lengua | Alemán |
| Editor | Pillay, Nelishia |
| Editor | Qu, Rong |