Record link: 
http://hdl.handle.net/20.500.12708/138384
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Title: 
A quasi-Monte Carlo data compression algorithm for machine learning
en
Citation: 
Dick, J., & Feischl, M. (2021). A quasi-Monte Carlo data compression algorithm for machine learning. Journal of Complexity, 67(101587), 101587. https://doi.org/10.1016/j.jco.2021.101587
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Publisher DOI: 
10.1016/j.jco.2021.101587
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Publication Type: 
Article - Original Research Article
en
Language: 
English
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Authors: 
Dick, Josef 
Feischl, Michael 
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Organisational Unit: 
E101-02 - Forschungsbereich Numerik 
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Journal: 
Journal of Complexity 
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ISSN: 
0885-064X
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Date (published): 
2021
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Number of Pages: 
25
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Peer reviewed: 
Yes
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Keywords: 
Applied Mathematics; General Mathematics; Algebra and Number Theory; Numerical Analysis; Control and Optimization; Statistics and Probability
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Research Areas: 
Mathematical and Algorithmic Foundations: 100%
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Science Branch: 
Mathematik
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