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  • Search: subject:"hyperparameter optimization"
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Year of publication
Subject
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Hyperparameter optimization 6 Theorie 6 Theory 6 Artificial intelligence 5 Forecasting model 5 Künstliche Intelligenz 5 Mathematical programming 5 Mathematische Optimierung 5 Neural networks 5 Neuronale Netze 5 Prognoseverfahren 5 Automated machine learning 2 Automl 2 Blackbox optimization (BBO) 2 Derivative-free optimization (DFO) 2 Hyperparameter optimization (HPO) 2 Model selection 2 Multi-objective optimization 2 R-NSGA-II 2 hyperparameter optimization 2 Activation function 1 Algorithm 1 Algorithmus 1 Artificial neural network 1 Automation 1 Automatisierung 1 Benzin 1 BiGRU 1 Big Data 1 Big data 1 Convolutional Neural Network 1 Electricity price 1 Energiepreis 1 Energy price 1 Energy price forecasting 1 Estimation theory 1 Exchange rate 1 Gasoline 1 Gasoline spot price analysis 1 Gradient-based hyperparameter optimization 1
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Online availability
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Free 8 Undetermined 4 CC license 3
Type of publication
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Article 11 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 7 Aufsatz in Zeitschrift 7 Article 3 Arbeitspapier 1 Aufsatz im Buch 1 Book section 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
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Language
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English 12
Author
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Castaño, Fernando 2 Cruz, Yarens J. 2 Haber, Rodolfo E. 2 Lakhmiri, Dounia 2 Le Digabel, Sébastien 2 Rivas, Marcelino 2 Villalonga, Alberto 2 Abdeslam, Djaffar Ould 1 Al-Essa, Lulwah M. 1 Cuomo, Salvatore 1 El Moursi, Mohamed Shawky 1 El-Fouly, Tarek H. M. 1 Fahad, Nur Mohammad 1 Gerling, Alexander 1 Habibnia, Ali 1 Hamja, Md Amir 1 Hasan, Mahmudul 1 Hess, Andreas 1 Hossain, Md Sabir 1 Iqbal, Farhat 1 Jong, Yun-Chol 1 Kim, Ju-Song 1 Koutmos, Dimitrios 1 Larik, Nauman Ali 1 Li, Xia 1 Litvinenko, Alexander 1 Maasoumi, Esfandiar 1 Mamun, Abdullah Al 1 Mukta, Md. Saddam Hossain 1 Pompameo, Laura 1 Rahman, Md. Anisur 1 Raiaan, Mohaimenul Azam Khan 1 Rosa, Mariapia De 1 Ryang, Gwang-Il 1 Sakib, Md Rakinus 1 Sakib, Sadman 1 Schreier, Ulf 1 Seiffer, Christian 1 Shatabda, Swakkhar 1 Tahir, Muhammad Faizan 1
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Published in...
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Energy strategy reviews 1 Journal of Intelligent Manufacturing 1 Journal of forecasting 1 Journal of quantitative economics 1 Les cahiers du GERAD 1 Machine Learning Technologies on Energy Economics and Finance : Energy and Sustainable Analytics, Volume 1 1 Operations Research Forum 1 Operations Research Perspectives 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) 9 EconStor 3
Showing 1 - 10 of 12
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HOMO-PINN: Hyperparameter Optimization of a Multi-output Physics-Informed Neural Network
Rosa, Mariapia De; Pompameo, Laura; Litvinenko, Alexander; … - In: Operations Research Forum 6 (2025) 4
errors in coefficient estimation. For this purpose, hyperparameter optimization of multi-output physics-informed neural …
Persistent link: https://www.econbiz.de/10015482641
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Optimizing solar photovoltaic power forecasting via multi-architecture machine learning framework with multiple hyperparameter optimization techniques
Tahir, Muhammad Faizan; Tzes, Anthony; El-Fouly, Tarek H. M. - In: Energy strategy reviews 61 (2025), pp. 1-20
algorithm, the best-performing model was further refined using hyperparameter optimization techniques, including tree …
Persistent link: https://www.econbiz.de/10015485825
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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/10015455378
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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 … - 2024
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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Efficient gasoline spot price prediction using hyperparameter optimization and ensemble machine learning approach
Hamja, Md Amir; Sakib, Md Rakinus; Hasan, Mahmudul; … - In: Machine Learning Technologies on Energy Economics and …, (pp. 285-313). 2025
Persistent link: https://www.econbiz.de/10015450336
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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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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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