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  • Search: subject:"machine learning method"
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Year of publication
Subject
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Artificial intelligence 7 Künstliche Intelligenz 7 Machine learning method 4 Decision tree 2 Entscheidungsbaum 2 Neural networks 2 Neuronale Netze 2 Volatility 2 Volatilität 2 machine learning method 2 ARCH model 1 ARCH-Modell 1 Air pollution 1 Air pollution control 1 Air quality 1 Algorithm 1 Algorithmus 1 Armut 1 Behaviors classification 1 Carbon futures volatility 1 Categorical EPU indices 1 Causality analysis 1 China 1 City-renaming reform 1 Classification 1 Decision 1 Decision under uncertainty 1 Developing countries 1 Development aid 1 EU countries 1 EU-Staaten 1 Economic reform 1 Entscheidung 1 Entscheidung unter Unsicherheit 1 Entwicklungshilfe 1 Entwicklungsländer 1 Forecast 1 Forecasting model 1 Gesundheit 1 Greenhouse gas emissions 1
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Online availability
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Undetermined 4 Free 3 CC license 2
Type of publication
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Article 7
Type of publication (narrower categories)
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Article in journal 7 Aufsatz in Zeitschrift 7
Language
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English 7
Author
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Guo, Jing 1 Guo, Xiaozhu 1 Huang, Dengshi 1 Kaliuzhna, Tetiana 1 Kubiuk, Yevhenii 1 Li, Xiafei 1 Li, Zonghan 1 Liang, Chao 1 Lin, Lu 1 Linn, Joshua 1 Liu, Lanyong 1 Liu, Man 1 Liu, Yi 1 Long, Hai 1 Lu, Yi 1 Wang, Chunyan 1 Wang, Miao 1 Xie, Lunyu 1 Xiong, Qinglong 1 Yan, Haosheng 1 Zhang, Keang 1 Zhang, Zhengyu 1 Zhou, Wei 1 Zou, Tianhua 1
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Published in...
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China economic review : an international journal 1 Cleaner and responsible consumption 1 Economic research 1 Environmental and resource economics 1 International review of economics & finance : IREF 1 South African journal of economic and management sciences 1 Technology audit and production reserves 1
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Source
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ECONIS (ZBW) 7
Showing 1 - 7 of 7
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A hybrid model of machine learning for classifying household water-consumption behaviors
Wang, Miao; Li, Zonghan; Liu, Yi; Lin, Lu; Wang, Chunyan - In: Cleaner and responsible consumption 16 (2025), pp. 1-10
Classifying household water-consumption behaviors is crucial for providing targeted suggestions for water-saving behaviors and enabling effective resource management and conservation. Although it is common knowledge that energy consumption is closely coupled with household water consumption, the...
Persistent link: https://www.econbiz.de/10015393861
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A conductive effect of aid volatility on health poverty in aid-recipient countries
Xiong, Qinglong; Liu, Lanyong; Long, Hai - In: South African journal of economic and management sciences 27 (2024) 1, pp. 1-13
Persistent link: https://www.econbiz.de/10015045828
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Analysis of machine learning methods in the task of searching duplicates in the software code
Kaliuzhna, Tetiana; Kubiuk, Yevhenii - In: Technology audit and production reserves 4 (2022) 2/66, pp. 6-13
Persistent link: https://www.econbiz.de/10013459320
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Can building subway systems improve air quality? : new evidence from multiple cities and machine learning
Xie, Lunyu; Zou, Tianhua; Linn, Joshua; Yan, Haosheng - In: Environmental and resource economics 87 (2024) 4, pp. 1009-1044
Persistent link: https://www.econbiz.de/10014637598
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Are categorical EPU indices predictable for carbon futures volatility? : Evidence from the machine learning method
Guo, Xiaozhu; Huang, Dengshi; Li, Xiafei; Liang, Chao - In: International review of economics & finance : IREF 83 (2023), pp. 672-693
Persistent link: https://www.econbiz.de/10014246784
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Machine learning methods based on probabilistic decision tree under the multi-valued preference environment
Zhou, Wei; Lu, Yi; Liu, Man; Zhang, Keang - In: Economic research 35 (2022) 1,1, pp. 38-59
Persistent link: https://www.econbiz.de/10014380398
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Does renaming promote economic development? : new evidence from a city-renaming reform experiment in China
Guo, Jing; Zhang, Zhengyu - In: China economic review : an international journal 57 (2019), pp. 1-27
Persistent link: https://www.econbiz.de/10012317808
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