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  • Search: subject:"dropout methods"
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Year of publication
Subject
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dropout methods 4 machine learning 4 neural networks 4 Artificial intelligence 2 Bitcoin mining 2 CO2 2 Künstliche Intelligenz 2 LASSO techniques 2 Neural networks 2 Neuronale Netze 2 financial modeling 2 Bergbau 1 Data Mining 1 Data mining 1 Estimation theory 1 Financial market 1 Finanzmarkt 1 Forecasting model 1 Greenhouse gas emissions 1 Mining 1 Pollution 1 Prognoseverfahren 1 Schätztheorie 1 Treibhausgas-Emissionen 1 Umweltbelastung 1 Virtual currency 1 Virtuelle Währung 1
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Online availability
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Free 4 CC license 2
Type of publication
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Article 4
Type of publication (narrower categories)
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Article 2 Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 4
Author
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Calvo Pardo, Héctor F. 4 Mancini, Tullio 4 Olmo, Jose 4
Published in...
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Journal of Risk and Financial Management 2 Journal of risk and financial management : JRFM 2
Source
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ECONIS (ZBW) 2 EconStor 2
Showing 1 - 4 of 4
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Machine learning the carbon footprint of Bitcoin mining
Calvo Pardo, Héctor F.; Mancini, Tullio; Olmo, Jose - In: Journal of Risk and Financial Management 15 (2022) 2, pp. 1-30
Building on an economic model of rational Bitcoin mining, we measured the carbon footprint of Bitcoin mining power consumption using feed-forward neural networks. We found associated carbon footprints of 2.77, 16.08 and 14.99 MtCO2e for 2017, 2018 and 2019 based on a novel bottom-up approach,...
Persistent link: https://www.econbiz.de/10013201374
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Cover Image
Machine learning the carbon footprint of Bitcoin mining
Calvo Pardo, Héctor F.; Mancini, Tullio; Olmo, Jose - In: Journal of risk and financial management : JRFM 15 (2022) 2, pp. 1-30
Building on an economic model of rational Bitcoin mining, we measured the carbon footprint of Bitcoin mining power consumption using feed-forward neural networks. We found associated carbon footprints of 2.77, 16.08 and 14.99 MtCO2e for 2017, 2018 and 2019 based on a novel bottom-up approach,...
Persistent link: https://www.econbiz.de/10012821293
Saved in:
Cover Image
Neural network models for empirical finance
Calvo Pardo, Héctor F.; Mancini, Tullio; Olmo, Jose - In: Journal of Risk and Financial Management 13 (2020) 11, pp. 1-22
This paper presents an overview of the procedures that are involved in prediction with machine learning models with special emphasis on deep learning. We study suitable objective functions for prediction in high-dimensional settings and discuss the role of regularization methods in order to...
Persistent link: https://www.econbiz.de/10012611503
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Cover Image
Neural network models for empirical finance
Calvo Pardo, Héctor F.; Mancini, Tullio; Olmo, Jose - In: Journal of risk and financial management : JRFM 13 (2020) 11/265, pp. 1-22
This paper presents an overview of the procedures that are involved in prediction with machine learning models with special emphasis on deep learning. We study suitable objective functions for prediction in high-dimensional settings and discuss the role of regularization methods in order to...
Persistent link: https://www.econbiz.de/10012389830
Saved in:
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