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Constraint learning to define trust regions in optimization over pre-trained predictive models
Shi, Chenbo; Emadikhiav, Mohsen; Lozano, Leonardo; … - In: INFORMS journal on computing : JOC ; charting new … 36 (2024) 6, pp. 1382-1399
Persistent link: https://www.econbiz.de/10015164538
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Breaking the sample size barrier in model-based reinforcement learning with a generative model
Li, Gen; Wei, Yuting; Chi, Yuejie; Chen, Yuxin - In: Operations research 72 (2024) 1, pp. 203-221
Persistent link: https://www.econbiz.de/10014505071
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Macroeconomic forecasting using factor models and machine learning : an application to Japan
Maehashi, Kohei; Shintani, Mototsugu - 2020
Persistent link: https://www.econbiz.de/10013329759
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Machine learning techniques applied to US army and navy data
Kim, Jong-Min; Li, Chuwen; Ha, Il Do - In: International journal of productivity and quality … 29 (2020) 2, pp. 149-166
Persistent link: https://www.econbiz.de/10012200353
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Machine learning and multiple abortions
Kumar, Pradeep; Nicodemo, Catia; Oreffice, Sonia; … - 2024
This study employs six Machine Learning methods - Logit, Lasso-Logit, Ridge-Logit, Random Forest, Extreme Gradient …
Persistent link: https://www.econbiz.de/10014545133
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Nowcasting GDP: what are the gains from machine learning algorithms?
Arro-Cannarsa, Milen; Scheufele, Rolf - 2024
Persistent link: https://www.econbiz.de/10015044842
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Machine learning and regularization technique to determine foreign direct investment in Hungarian counties
Singh, Devesh; Turała, Maciej - 2022
machine learning algorithm on different methodsof regressions such as a linear, ridge, lasso, and elastic net. We analyse the …
Persistent link: https://www.econbiz.de/10014293261