| 期刊全称 | Automated Design of Machine Learning and Search Algorithms | | 影响因子2023 | Nelishia Pillay,Rong Qu | | 视频video | | | 发行地址 | Presents recent advances across automated machine learning and automated algorithm design.Contains a useful introduction to the fast-developing area of automated design of machine learning.Includes co | | 学科分类 | Natural Computing Series | | 图书封面 |  | | 影响因子 | .This book presents recent advances in automated machine learning (AutoML) and automated algorithm design and indicates the future directions in this fast-developing area. Methods have been developed to automate the design of neural networks, heuristics and metaheuristics using techniques such as metaheuristics, statistical techniques, machine learning and hyper-heuristics. The book first defines the field of automated design, distinguishing it from the similar but different topics of automated algorithm configuration and automated algorithm selection. ..The chapters report on the current state of the art by experts in the field and include reviews of AutoML and automated design of search, theoretical analyses of automated algorithm design, automated design of control software for robot swarms, and overfitting as a benchmark and design tool. 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. The book concludes by e | | Pindex | Book 2021 |
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发表于 2025-3-21 18:00:48
