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  • Search: subject:"Hyperparameter optimization"
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Year of publication
Subject
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Theorie 5 Theory 5 Mathematical programming 4 Mathematische Optimierung 4 Artificial intelligence 3 Forecasting model 3 Künstliche Intelligenz 3 Neural networks 3 Neuronale Netze 3 Prognoseverfahren 3 Blackbox optimization (BBO) 2 Derivative-free optimization (DFO) 2 Hyperparameter optimization 2 Hyperparameter optimization (HPO) 2 hyperparameter optimization 2 Activation function 1 Algorithm 1 Algorithmus 1 Automated machine learning 1 Automation 1 Automatisierung 1 Automl 1 BiGRU 1 Big Data 1 Big data 1 Convolutional Neural Network 1 Estimation theory 1 Exchange rate 1 Gradient-based hyperparameter optimization 1 High-dimensional nonlinear time Series 1 Hyperparameter optimization Analysis 1 KMU 1 Learning 1 Learning process 1 Lernen 1 Lernprozess 1 Machine Learning 1 Manufacturing 1 Metrics 1 Model selection 1
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Online availability
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Free 5 Undetermined 3 CC license 2
Type of publication
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Article 7 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 6 Aufsatz in Zeitschrift 6 Arbeitspapier 1 Article 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
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Language
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English 8
Author
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Lakhmiri, Dounia 2 Le Digabel, Sébastien 2 Abdeslam, Djaffar Ould 1 Al-Essa, Lulwah M. 1 Castaño, Fernando 1 Cruz, Yarens J. 1 Fahad, Nur Mohammad 1 Gerling, Alexander 1 Haber, Rodolfo E. 1 Habibnia, Ali 1 Hess, Andreas 1 Iqbal, Farhat 1 Jong, Yun-Chol 1 Kim, Ju-Song 1 Koutmos, Dimitrios 1 Li, Xia 1 Maasoumi, Esfandiar 1 Mamun, Abdullah Al 1 Mukta, Md. Saddam Hossain 1 Rahman, Md. Anisur 1 Raiaan, Mohaimenul Azam Khan 1 Rivas, Marcelino 1 Ryang, Gwang-Il 1 Sakib, Sadman 1 Schreier, Ulf 1 Seiffer, Christian 1 Shatabda, Swakkhar 1 Villalonga, Alberto 1 Yu, Jin-Won 1 Zaki, Eman Ahmed Ahmed Mohammed 1 Ziekow, Holger 1
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Published in...
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Decision analytics journal 1 Journal of Intelligent Manufacturing 1 Journal of forecasting 1 Journal of quantitative economics 1 Les cahiers du GERAD 1 Operations research forum 1 Operations research perspectives 1 Risks : open access journal 1
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Source
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ECONIS (ZBW) 7 EconStor 1
Showing 1 - 8 of 8
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A novel hybrid deep learning method for accurate exchange rate prediction
Iqbal, Farhat; Koutmos, Dimitrios; Zaki, Eman Ahmed … - In: Risks : open access journal 12 (2024) 9, pp. 1-20
The global foreign exchange (FX) market represents a critical and sizeable component of our financial system. It is a market where firms and investors engage in both speculative trading and hedging. Over the years, there has been a growing interest in FX modeling and prediction. Recently,...
Persistent link: https://www.econbiz.de/10015066311
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Automated machine learning methodology for optimizing production processes in small and medium-sized enterprises
Cruz, Yarens J.; Villalonga, Alberto; Castaño, Fernando; … - In: Operations research perspectives 12 (2024), pp. 1-10
Machine learning can be effectively used to generate models capable of representing the dynamic of production processes of small and medium-sized enterprises. These models enable the estimation of key performance indicators, and are often used for optimizing production processes. However, in...
Persistent link: https://www.econbiz.de/10015055720
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A systematic review of hyperparameter optimization techniques in Convolutional Neural Networks
Raiaan, Mohaimenul Azam Khan; Sakib, Sadman; Fahad, Nur … - In: Decision analytics journal 11 (2024), pp. 1-32
hyperparameters. Our research offers an exhaustive categorization of these hyperparameter optimization (HPO) algorithms and … hyperparameter optimization. …
Persistent link: https://www.econbiz.de/10015101999
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Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric
Gerling, Alexander; Ziekow, Holger; Hess, Andreas; … - In: Journal of Intelligent Manufacturing 33 (2022) 2, pp. 555-573
In order to manufacture products at low cost, machine learning (ML) is increasingly used in production, especially in high wage countries. Therefore, we introduce our PREFERML AutoML system, which is adapted to the production environment. The system is designed to predict production errors and...
Persistent link: https://www.econbiz.de/10015166371
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Use of static surrogates in hyperparameter optimization
Lakhmiri, Dounia; Le Digabel, Sébastien - 2021
Persistent link: https://www.econbiz.de/10012588176
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Forecasting chlorophyll-a concentration using empirical wavelet transform and support vector regression
Yu, Jin-Won; Kim, Ju-Song; Jong, Yun-Chol; Li, Xia; … - In: Journal of forecasting 41 (2022) 8, pp. 1691-1700
Persistent link: https://www.econbiz.de/10013465740
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Use of static surrogates in hyperparameter optimization
Lakhmiri, Dounia; Le Digabel, Sébastien - In: Operations research forum 3 (2022) 1, pp. 1-18
Persistent link: https://www.econbiz.de/10012819316
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Forecasting in big data environments : an adaptable and automated shrinkage estimation of neural networks (AAShNet)
Habibnia, Ali; Maasoumi, Esfandiar - In: Journal of quantitative economics 19 (2021), pp. 363-381
Persistent link: https://www.econbiz.de/10013441731
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