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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 2021 edition
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
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | July 29, 2022 |
ISBN13 | 9783030720711 |
Publishers | Springer Nature Switzerland AG |
Pages | 187 |
Dimensions | 299 g |
Language | German |
Editor | Pillay, Nelishia |
Editor | Qu, Rong |