標題: Titlebook: Automated Design of Machine Learning and Search Algorithms; Nelishia Pillay,Rong Qu Book 2021 Springer Nature Switzerland AG 2021 Machine [打印本頁] 作者: 胃口 時間: 2025-3-21 18:00
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書目名稱Automated Design of Machine Learning and Search Algorithms讀者反饋
書目名稱Automated Design of Machine Learning and Search Algorithms讀者反饋學科排名
作者: 沙文主義 時間: 2025-3-21 20:51 作者: aplomb 時間: 2025-3-22 01:23 作者: 松軟 時間: 2025-3-22 08:02
Rigorous Performance Analysis of Hyper-heuristics,orithms aim at automating the optimisation process by using a set of low-level heuristics and a machine learning mechanism to decide online which heuristic is the most appropriate one at the current stage. We mainly focus on work that establishes the performance gains that simple and sophisticated h作者: Functional 時間: 2025-3-22 09:03 作者: STING 時間: 2025-3-22 12:56 作者: contrast-medium 時間: 2025-3-22 17:39 作者: 解開 時間: 2025-3-22 22:43 作者: Reclaim 時間: 2025-3-23 02:38 作者: 手工藝品 時間: 2025-3-23 05:33
Automated Design of Classification Algorithms,inancial forecasting, among others. Classification algorithms such as induction algorithms, e.g., ID3, and genetic programming are used to produce classifiers. The design of these classification algorithms is time-consuming, requiring many person hours, and is an optimization problem. This chapter e作者: 不要不誠實 時間: 2025-3-23 10:45 作者: genuine 時間: 2025-3-23 14:39 作者: Circumscribe 時間: 2025-3-23 22:02
https://doi.org/10.1007/978-3-7643-8317-6ons. This is presented in terms of reusability in automated design, explainable automated design, computational costs, theoretical aspects, automated design standardization, and semi-automated design.作者: 讓步 時間: 2025-3-24 00:45
Automated Design (AutoDes): Current Trends and Future Research Directions,ons. This is presented in terms of reusability in automated design, explainable automated design, computational costs, theoretical aspects, automated design standardization, and semi-automated design.作者: Glossy 時間: 2025-3-24 04:37 作者: accrete 時間: 2025-3-24 07:35 作者: insurrection 時間: 2025-3-24 12:42
https://doi.org/10.1007/978-3-662-28676-0introduction to AutoML for supervised learning is provided and a historical review of progress in this field is presented. Likewise, the main paradigms of AutoML are described and research opportunities are outlined.作者: 腐敗 時間: 2025-3-24 15:03 作者: 邪惡的你 時間: 2025-3-24 19:01 作者: 永久 時間: 2025-3-24 23:58
,Automated Machine Learning—A Brief Review at the End of the Early Years,introduction to AutoML for supervised learning is provided and a historical review of progress in this field is presented. Likewise, the main paradigms of AutoML are described and research opportunities are outlined.作者: 易受刺激 時間: 2025-3-25 04:10
Toward Real-Time Federated Evolutionary Neural Architecture Search, well suited for distributed real-time systems, due to high computational and communication costs. This chapter provides a brief introduction to methods for reducing computational cost in NAS, followed by a presentation of two evolutionary frameworks we recently developed for real-time federated NAS.作者: Ceremony 時間: 2025-3-25 10:32 作者: 博識 時間: 2025-3-25 11:42
A General Model for Automated Algorithm Design,configuration, selection and composition. Based on the decision space under consideration, the algorithm design itself is defined as an optimisation problem. Relevant literature is briefly reviewed, motivating a new line of exciting and challenging directions on the emerging research of automated algorithm design.作者: 圓木可阻礙 時間: 2025-3-25 16:46 作者: Dorsal-Kyphosis 時間: 2025-3-25 20:30
Automated Design of Machine Learning and Search Algorithms作者: Delirium 時間: 2025-3-26 00:20
Rigorous Performance Analysis of Hyper-heuristics,d sophisticated hyper-heuristics from the literature can achieve . performance for some standard unimodal and multimodal benchmark functions. Problem characteristics are highlighted for which more or less machine learning sophistication is required, and insights are provided of how a rigorous theory作者: 駭人 時間: 2025-3-26 06:34 作者: Connotation 時間: 2025-3-26 11:36 作者: PRISE 時間: 2025-3-26 15:19
Hyper-heuristics: Autonomous Problem Solvers,lgorithms directly operating on the solution space. In that respect, by design, a hyper-heuristic can be applied to any problem with a search space of quantifiable solutions. This flexibility coming from their easy-to-use nature has been validated in various academic and real-world applications. The作者: 含沙射影 時間: 2025-3-26 19:55
Knowledge Transfer in Genetic Programming Hyper-heuristics, of GPHH, we explored the following two transfer strategies: (1) useful subtrees and (2) importance of terminals, and verified their effectiveness in a case study of the uncertain capacitated arc routing problem.作者: sphincter 時間: 2025-3-26 20:58
Automated Design of Classification Algorithms,ing network intrusion detection and financial forecasting. The automated design required less design time and produced classifiers that performed better than the manually designed classifiers. Grammatical evolution was found to produce better-performing classifiers for binary classification and gene作者: PANG 時間: 2025-3-27 02:10 作者: 集合 時間: 2025-3-27 05:27 作者: Dysplasia 時間: 2025-3-27 11:03
Characteristics of Mold Materialsvely inject a bias in the design process and consequently reduce its variance. As confirmed by the empirical studies realized so far, this reduces the risk of overfitting simulation models and improves the chances of crossing the reality gap successfully.作者: TEM 時間: 2025-3-27 16:24
https://doi.org/10.1007/978-3-662-28676-0ing Salesman Problem and Multidimensional Knapsack Problem). Empirical results indicate that the approach can generate both constructive and perturbative heuristics that outperform well-known heuristic methods in a number of cases and are competitive with specialised methods for some instances.作者: Magnificent 時間: 2025-3-27 21:07
Flat Glass as a Construction Material,lgorithms directly operating on the solution space. In that respect, by design, a hyper-heuristic can be applied to any problem with a search space of quantifiable solutions. This flexibility coming from their easy-to-use nature has been validated in various academic and real-world applications. The作者: 先驅(qū) 時間: 2025-3-28 00:40 作者: Neuropeptides 時間: 2025-3-28 05:48 作者: hysterectomy 時間: 2025-3-28 06:59 作者: bioavailability 時間: 2025-3-28 11:05
Natural Computing Serieshttp://image.papertrans.cn/b/image/166286.jpg作者: 飛鏢 時間: 2025-3-28 16:53
Automated Design of Machine Learning and Search Algorithms978-3-030-72069-8Series ISSN 1619-7127 Series E-ISSN 2627-6461 作者: 含糊其辭 時間: 2025-3-28 21:48
https://doi.org/10.1007/978-3-030-72069-8Machine Learning; Search; Algorithm Design and Analysis; AutoML; Robot Swarms; Heuristics; Deep Learning; C作者: 翻布尋找 時間: 2025-3-28 23:17 作者: 高調(diào) 時間: 2025-3-29 07:08
https://doi.org/10.1007/978-3-662-28676-0utomated design of algorithms and systems with less human involvement. In machine learning and meta-heuristic search algorithms, different lines of relevant research are now emerging, with findings feeding into each other. This book presents a selection of some recent advances across automated machi作者: perimenopause 時間: 2025-3-29 10:38 作者: 評論者 時間: 2025-3-29 14:34
Characteristics of Mold Materialsecision variables are a set of elementary algorithm components. The combinations of these algorithm components, i.e. solutions of GCOP, thus represent different search algorithms. The objective of GCOP is to find the optimal combinations of algorithm components for solving optimisation problems. Sol作者: 難理解 時間: 2025-3-29 18:28
https://doi.org/10.1007/978-3-662-28676-0orithms aim at automating the optimisation process by using a set of low-level heuristics and a machine learning mechanism to decide online which heuristic is the most appropriate one at the current stage. We mainly focus on work that establishes the performance gains that simple and sophisticated h作者: 忘恩負義的人 時間: 2025-3-29 20:39
Characteristics of Mold Materialsctive behaviors for robot swarms is still missing. Automatic off-line design is an appealing solution but it is prone to the so-called reality gap, which is the reason for performance drops when control software developed in simulation is deployed on real robots. We present here our research on Auto作者: Enliven 時間: 2025-3-30 00:25
