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  • Search: subject:"machine learning algorithm"
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Year of publication
Subject
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Artificial intelligence 17 Künstliche Intelligenz 17 machine learning algorithm 17 Algorithm 12 Algorithmus 12 Forecasting model 8 Prognoseverfahren 8 Machine learning algorithm 6 SDG 4 Theorie 4 Theory 4 big data 4 computer vision 4 data for development 4 official statistics 4 poverty 4 Armut 2 Bayesian inference 2 Bibliometrics 2 Bibliometrie 2 Big Data 2 Big data 2 Bruttoinlandsprodukt 2 CO2 emissions 2 China 2 Commodity prices 2 Gross domestic product 2 Machine Learning Algorithm 2 NASA CMAPSS dataset 2 Poverty 2 Russia 2 Statistical method 2 Statistische Methode 2 Systematic literature review 2 Thailand 2 forecasting 2 multidimensional poverty 2 optimal maintenance strategy 2 random forest 2 reactive maintenance 2
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Online availability
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Free 13 Undetermined 11 CC license 6
Type of publication
All
Article 20 Book / Working Paper 6
Type of publication (narrower categories)
All
Article in journal 16 Aufsatz in Zeitschrift 16 Working Paper 4 Graue Literatur 3 Non-commercial literature 3 Arbeitspapier 2 Article 2
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Language
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English 24 Undetermined 2
Author
All
Addawe, Mildred 4 Bulan, Joseph 4 Durante, Ron Lester 4 Martillan, Marymell 4 Gurbanov, Sarvar 2 Hofer, Martin 2 Martinez, Arturo 2 Martinez, Arturo M. 2 Mikayilov, Jeyhun I. 2 Mukhtarov, Shahriyar 2 Puttanapong, Nattapong 2 Sako, Tomas 2 Weeber, Christoph 2 Yagubov, Sakit 2 Andreev, Pavel 1 Benyoucef, Morad 1 Bessler, David 1 Bostandzic, Denefa 1 Chen, Junyi 1 Chi, Xie 1 Czasonis, Megan 1 Dhote, Siddharth 1 Huang, Jen-peng 1 Irresberger, Felix 1 Joshi, Manoj 1 Karl, Marion 1 Kattareeya Prompreing 1 Kibriya, Shahriar 1 Kritzman, Mark 1 Law, Rob 1 Li, Gang 1 Li, Jing 1 Lu, Yao 1 Marutho, Dhendra 1 Mehta, Balwant Singh 1 Muljono 1 Muskat, Birgit 1 Naveen, N C 1 Ni, He 1 O'Neil, Shawn 1
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Institution
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Internationaler Währungsfonds 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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ADB Economics Working Paper Series 2 ADB economics working paper series 2 Decision sciences : DS 1 Economic modelling 1 Emerging markets, finance & trade : a journal of the Society for the Study of Emerging Markets 1 Financial innovation : FIN 1 IMF country report 1 Information technology and management 1 International Journal of Data Analysis Techniques and Strategies 1 International Journal of Healthcare Information Systems and Informatics (IJHISI) 1 International journal of business and globalisation : IJBG 1 International journal of business information systems : IJBIS 1 Journal of Applied Economics 1 Journal of forecasting 1 Journal of information & knowledge management : JIKM 1 Journal of investment management : JOIM 1 Journal of open innovation : technology, market, and complexity 1 Journal of travel and tourism marketing 1 Junior Management Science (JUMS) 1 Junior management science 1 MPRA Paper 1 Pacific-Basin finance journal 1 The Indian journal of labour economics : a quarterly journal of Indian Society of Labour Economics 1
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Source
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ECONIS (ZBW) 19 EconStor 4 RePEc 2 Other ZBW resources 1
Showing 11 - 20 of 26
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How does the economic structure break change the forecast effect of money and credit on output? : evidence based on machine learning algorithms
Lu, Yao; Zhao, Zhihui; Tian, Yuan; Zhan, Minghua - In: Pacific-Basin finance journal 84 (2024), pp. 1-19
Persistent link: https://www.econbiz.de/10014534591
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Impact of enterprises relationship on ML's ability to forecast SME's credit risk in SCF : a research based on complex network
Peng, Qiaosheng; Chi, Xie; Li, Jing; Zhu, You; Wang, … - In: Emerging markets, finance & trade : a journal of the … 60 (2024) 11, pp. 2594-2612
Persistent link: https://www.econbiz.de/10015049754
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Does herding effect help forecast market volatility? : evidence from the Chinese stock market
Wang, Yide; Yu, Chao; Zhao, Xujie - In: Journal of forecasting 42 (2023) 5, pp. 1275-1290
Persistent link: https://www.econbiz.de/10014338876
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Nowcasting Chinese GDP in a data-rich environment : lessons from machine learning algorithms
Zhang, Qin; Ni, He; Xu, Hao - In: Economic modelling 122 (2023), pp. 1-15
Persistent link: https://www.econbiz.de/10014388697
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Decomposition of inequality of opportunity in India : an application of data-driven machine learning approach
Mehta, Balwant Singh; Dhote, Siddharth; Srivastava, Ravi - In: The Indian journal of labour economics : a quarterly … 66 (2023) 2, pp. 439-469
Persistent link: https://www.econbiz.de/10014382657
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Applying artificial intelligence on satellite imagery to compile granular poverty statistics
Hofer, Martin; Sako, Tomas; Martinez, Arturo; Addawe, … - 2020
The spatial granularity of poverty statistics can have a significant impact on the efficiency of targeting resources meant to improve the living conditions of the poor. However, achieving granularity typically requires increasing the sample sizes of surveys on household income and expenditure or...
Persistent link: https://www.econbiz.de/10012665059
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Cover Image
Predicting poverty using geospatial data in Thailand
Puttanapong, Nattapong; Martinez, Arturo M.; Addawe, Mildred - 2020
Poverty statistics are conventionally compiled using data from household income and expenditure survey or living standards survey. This study examines an alternative approach in estimating poverty by investigating whether readily available geospatial data can accurately predict the spatial...
Persistent link: https://www.econbiz.de/10012665060
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Cover Image
Predicting poverty using geospatial data in Thailand
Puttanapong, Nattapong; Martinez, Arturo M.; Addawe, Mildred - 2020
Poverty statistics are conventionally compiled using data from household income and expenditure survey or living standards survey. This study examines an alternative approach in estimating poverty by investigating whether readily available geospatial data can accurately predict the spatial...
Persistent link: https://www.econbiz.de/10012403931
Saved in:
Cover Image
Applying artificial intelligence on satellite imagery to compile granular poverty statistics
Hofer, Martin; Sako, Tomas; Martinez, Arturo; Addawe, … - 2020
The spatial granularity of poverty statistics can have a significant impact on the efficiency of targeting resources meant to improve the living conditions of the poor. However, achieving granularity typically requires increasing the sample sizes of surveys on household income and expenditure or...
Persistent link: https://www.econbiz.de/10012403950
Saved in:
Cover Image
Applications of machine learning in knowledge management system : a comprehensive review
Simon, Casper Gihes Kaun; Zaman, Noor; Wei, Goh Wei; … - In: Journal of information & knowledge management : JIKM 21 (2022) 2, pp. 1-62
Persistent link: https://www.econbiz.de/10013389611
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