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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
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2022年7月29日 |
| ISBN13 | 9783030720711 |
| 出版社 | Springer Nature Switzerland AG |
| ページ数 | 187 |
| 寸法 | 150 × 220 × 10 mm · 299 g |
| 言語 | ドイツ語 |
| 編集者 | Pillay, Nelishia |
| 編集者 | Qu, Rong |