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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:
Artikel - Original Research Article
de
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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Appears in Collections:
Article
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