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  • Search: subject:"Boosting algorithms"
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Year of publication
Subject
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Algorithm 4 Algorithmus 4 Forecasting model 4 Prognoseverfahren 4 Boosting algorithms 3 Neural networks 3 Neuronale Netze 3 Artificial intelligence 2 Forecast 2 Künstliche Intelligenz 2 Prognose 2 USA 2 United States 2 Artificial neural networks 1 Bank failure 1 Bank failure prediction 1 Bankinsolvenz 1 Bidirectional long short-term memory neural network 1 Dimensionality reduction methods 1 Economic growth 1 Electricity price 1 Energiemarkt 1 Energieprognose 1 Energy forecast 1 Energy market 1 Ensemble learning 1 Feedforward neural networks 1 Financial forecasting 1 Financial time-series modelling 1 GDP growth 1 Gradient boosting 1 Lasso 1 MIDAS 1 National income 1 Nationaleinkommen 1 Noisy data 1 Random forest 1 Regression analysis 1 Regressionsanalyse 1 Regularisation 1
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Undetermined 3 Free 1
Type of publication
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Article 4
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4
Language
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English 4
Author
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Agapitos, Alexandros 1 Bales, Chris 1 Brabazon, Anthony 1 Chu, Ba 1 Fleyeh, Hasan 1 Ho, Tin H. 1 O'Neill, Michael 1 Pham, Xuan T. T. 1 Qureshi, Shafiullah 1 Zhang, Fan 1
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Published in...
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Computational Management Science : CMS 1 Computational economics 1 International review of economics & finance : IREF 1 Journal of the Operational Research Society 1
Source
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ECONIS (ZBW) 4
Showing 1 - 4 of 4
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A hybrid model based on bidirectional long short-term memory neural network and Catboost for short-term electricity spot price forecasting
Zhang, Fan; Fleyeh, Hasan; Bales, Chris - In: Journal of the Operational Research Society 73 (2022) 2, pp. 301-325
Persistent link: https://www.econbiz.de/10013170134
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Comparing out-of-sample performance of machine learning methods to forecast U.S. GDP growth
Chu, Ba; Qureshi, Shafiullah - In: Computational economics 62 (2023) 4, pp. 1567-1609
Persistent link: https://www.econbiz.de/10014437505
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Using boosting algorithms to predict bank failure : an untold story
Pham, Xuan T. T.; Ho, Tin H. - In: International review of economics & finance : IREF 76 (2021), pp. 40-54
Persistent link: https://www.econbiz.de/10013175742
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Regularised gradient boosting for financial time-series modelling
Agapitos, Alexandros; Brabazon, Anthony; O'Neill, Michael - In: Computational Management Science : CMS 14 (2017) 3, pp. 367-391
Persistent link: https://www.econbiz.de/10011710842
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