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  • Search: subject:"Concept drift"
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Year of publication
Subject
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Concept drift 4 Artificial intelligence 2 Active learning 1 Aktienmarkt 1 Ausreißer 1 Capital income 1 Data streams 1 Estimation theory 1 Extreme value theory 1 Feature-based time series analysis 1 Forecasting model 1 Imbalanced distribution 1 In-line vehicle sequencing 1 Intelligent transportation systems 1 Kapitaleinkommen 1 Kernel-based density estimation 1 Kullback-Leibler Divergence 1 Künstliche Intelligenz 1 Machine learning 1 Multivariate time series 1 Outlier detection 1 Outliers 1 Prognoseverfahren 1 Schätztheorie 1 Sequence scrambling 1 Statistical distribution 1 Statistische Verteilung 1 Stock market 1 Stock market extreme risk prediction 1 Supervised classification 1 Time series analysis 1 Wasserstein barycentre 1 Zeitreihenanalyse 1
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Online availability
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Free 4
Type of publication
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Article 2 Book / Working Paper 2
Type of publication (narrower categories)
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Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Working Paper 2 Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
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Language
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English 4
Author
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Hyndman, Rob J. 1 Kandanaarachchi, Sevvandi 1 Kühl, Niklas 1 Laha, Arnab Kumar 1 Li, Shaofang 1 Muñoz, Mario A. 1 Ren, Tingting 1 Smith-Miles, Kate 1 Stauder, Maximilian 1 Talagala, Priyanga Dilini 1 Verma, Shikha 1 Zhang, Siying 1
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Published in...
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Flexible Services and Manufacturing Journal 1 The North American journal of economics and finance : a journal of theory and practice 1 Working paper / Department of Econometrics and Business Statistics, Monash University 1 Working paper / Indian Institute of Management, Ahmedabad 1
Source
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ECONIS (ZBW) 3 EconStor 1
Showing 1 - 4 of 4
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Stock market extreme risk prediction based on machine learning : evidence from the American market
Ren, Tingting; Li, Shaofang; Zhang, Siying - In: The North American journal of economics and finance : a … 74 (2024), pp. 1-16
Persistent link: https://www.econbiz.de/10015134994
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AI for in-line vehicle sequence controlling: development and evaluation of an adaptive machine learning artifact to predict sequence deviations in a mixed-model production line
Stauder, Maximilian; Kühl, Niklas - In: Flexible Services and Manufacturing Journal 34 (2021) 3, pp. 709-747
Customers in the manufacturing sector, especially in the automotive industry, have a high demand for individualized products at price levels comparable to traditional mass-production. The contrary objectives of providing a variety of products and operating at minimum costs have introduced a high...
Persistent link: https://www.econbiz.de/10014502107
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Optimal Transport based drift detection for sensor streams : method and applications in transportation
Laha, Arnab Kumar; Verma, Shikha - 2021
Persistent link: https://www.econbiz.de/10012794433
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Anomaly detection in streaming nonstationary temporal data
Talagala, Priyanga Dilini; Hyndman, Rob J.; … - 2018
Persistent link: https://www.econbiz.de/10012583311
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