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Avtomatika i Telemekhanika, 2022, Issue 6, Pages 5–23
DOI: https://doi.org/10.31857/S0005231022060022 (Mi at15973) 		 
This article is cited in 3 scientific papers (total in 3 papers)

Algebraic machine learning: emphasis on efficiency

D. V. Vinogradov

Dorodnicyn Computing Centre, Russian Academy of Sciences, Moscow, 119333 Russia
Full-text PDF (368 kB) First page Citations (3)
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DOI: https://doi.org/10.31857/S0005231022060022
Abstract: A survey of the state of the art in research on algebraic machine learning is presented. The main emphasis is on computational complexity. The key idea is to use lattice theory methods and probabilistic algorithms based on Markov chains.
Keywords: probabilistic algorithm, computational complexity, lattice, machine learning, overfitting.
Funding agency Grant number
Russian Foundation for Basic Research 18-29-03063_мк
This work was financially supported in part by the Russian Foundation for Basic Research, project no. 18-29-03063mk.
Presented by the member of Editorial Board: O. P. Kuznetsov

Received: 07.12.2021
Revised: 02.01.2022
Accepted: 26.01.2022
English version:
Automation and Remote Control, 2022, Volume 83, Issue 6, Pages 831–846
DOI: https://doi.org/10.1134/S0005117922060029
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: D. V. Vinogradov, “Algebraic machine learning: emphasis on efficiency”, Avtomat. i Telemekh., 2022, no. 6, 5–23; Autom. Remote Control, 83:6 (2022), 831–846
Citation in format AMSBIB
\Bibitem{Vin22}
\by D.~V.~Vinogradov
\paper Algebraic machine learning: emphasis on efficiency
\jour Avtomat. i Telemekh.
\yr 2022
\issue 6
\pages 5--23
\mathnet{http://mi.mathnet.ru/at15973}
\crossref{https://doi.org/10.31857/S0005231022060022}
\edn{https://elibrary.ru/ACGDEV}
\transl
\jour Autom. Remote Control
\yr 2022
\vol 83
\issue 6
\pages 831--846
\crossref{https://doi.org/10.1134/S0005117922060029}
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  • https://www.mathnet.ru/eng/at/y2022/i6/p5
    • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    References:27
    First page:28
     
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