Editorial: Mathematical Fundamentals of Machine Learning Article Swipe

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David Glickenstein , Keaton Hamm , Xiaoming Huo , Yajun Mei , Martin Stoll ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.3389/fams.2021.674785

EDITORIAL article Front. Appl. Math. Stat., 07 April 2021 | https://doi.org/10.3389/fams.2021.674785

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Type: editorial
Language: en
Landing Page: https://doi.org/10.3389/fams.2021.674785
PDF: https://www.frontiersin.org/articles/10.3389/fams.2021.674785/pdf
OA Status: gold
Cited By: 4
References: 1
Related Works: 10
OpenAlex ID: https://openalex.org/W3142192878

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DOI: https://doi.org/10.3389/fams.2021.674785

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Title: Editorial: Mathematical Fundamentals of Machine Learning

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Type: editorial

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Language: en

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Publication year: 2021

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Publication date: 2021-04-07

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Authors: David Glickenstein, Keaton Hamm, Xiaoming Huo, Yajun Mei, Martin Stoll

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Landing page: https://doi.org/10.3389/fams.2021.674785

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PDF URL: https://www.frontiersin.org/articles/10.3389/fams.2021.674785/pdf

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OA URL: https://www.frontiersin.org/articles/10.3389/fams.2021.674785/pdf

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Concepts: Computer science, Mathematical economics, Artificial intelligence, Mathematics education, Mathematics

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Cited by: 4

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Citations by year (recent): 2024: 2, 2023: 2

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