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Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia, 2021, Volume 499, Pages 63–66
DOI: https://doi.org/10.31857/S2686954321040172
(Mi danma192)
 

This article is cited in 8 scientific papers (total in 8 papers)

INFORMATICS

Two-level regression method using ensembles of trees with optimal divergence

Yu. I. Zhuravleva, O. V. Sen'koa, A. A. Dokukina, N. N. Kiselyovab, I. A. Saenkoc

a Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
b Baikov Institute of Metallurgy and Materials Science, Russian Academy of Sciences, Moscow, Russia
c Lomonosov Moscow State University, Moscow, Russia
Full-text PDF (90 kB) Citations (8)
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Abstract: The article discusses a new two-level regression analysis method in which a corrective procedure is applied to optimal ensembles of regression trees. Optimization is carried out based on the simultaneous achievement of the divergence of the algorithms in the forecast space and a good approximation of the data by individual algorithms of the ensemble. Simple averaging, random regression forest, and gradient boosting are used as corrective procedures. Experiments are presented comparing the proposed method with the standard decision forest and the standard gradient boosting method for decision trees.
Keywords: regression, collective methods, bagging, gradient boosting.
Funding agency Grant number
Russian Foundation for Basic Research 18-29-03151
20-01-00609
21-51-53019
This work was supported in part by the Russian Foundation for Basic Research, project nos. 18-29-03151, 20-01-00609, and 21-51-53019.
Received: 17.06.2021
Revised: 17.06.2021
Accepted: 19.06.2021
English version:
Doklady Mathematics, 2021, Volume 104, Issue 1, Pages 212–215
DOI: https://doi.org/10.1134/S1064562421040177
Bibliographic databases:
Document Type: Article
UDC: 004.855
Language: Russian
Citation: Yu. I. Zhuravlev, O. V. Sen'ko, A. A. Dokukin, N. N. Kiselyova, I. A. Saenko, “Two-level regression method using ensembles of trees with optimal divergence”, Dokl. RAN. Math. Inf. Proc. Upr., 499 (2021), 63–66; Dokl. Math., 104:1 (2021), 212–215
Citation in format AMSBIB
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\by Yu.~I.~Zhuravlev, O.~V.~Sen'ko, A.~A.~Dokukin, N.~N.~Kiselyova, I.~A.~Saenko
\paper Two-level regression method using ensembles of trees with optimal divergence
\jour Dokl. RAN. Math. Inf. Proc. Upr.
\yr 2021
\vol 499
\pages 63--66
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\crossref{https://doi.org/10.31857/S2686954321040172}
\zmath{https://zbmath.org/?q=an:7427869}
\elib{https://elibrary.ru/item.asp?id=46532758}
\transl
\jour Dokl. Math.
\yr 2021
\vol 104
\issue 1
\pages 212--215
\crossref{https://doi.org/10.1134/S1064562421040177}
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  • This publication is cited in the following 8 articles:
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    Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia
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    Full-text PDF :29
    References:20
     
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