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Some properties of the classification algorithms using ensemble kernels. / Odinokikh, N.; Berikov, V.

In: Journal of Physics: Conference Series, Vol. 1715, No. 1, 012011, 04.01.2021.

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Odinokikh N, Berikov V. Some properties of the classification algorithms using ensemble kernels. Journal of Physics: Conference Series. 2021 Jan 4;1715(1):012011. doi: 10.1088/1742-6596/1715/1/012011

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Odinokikh, N. ; Berikov, V. / Some properties of the classification algorithms using ensemble kernels. In: Journal of Physics: Conference Series. 2021 ; Vol. 1715, No. 1.

BibTeX

@article{53e451120e5542ea82854de5538ae059,
title = "Some properties of the classification algorithms using ensemble kernels",
abstract = "In this paper, we study the properties of the KCCE algorithm (Kernel-based Classification with Cluster Ensemble) proposed in our previous publication. Different strategies for choosing the ensemble weights are investigated from the point of view of their influence on the quality and speed of the algorithm. We perform numerical experiments with the algorithm on real datasets from the UCI repository under conditions of artificially added noise at different levels.",
author = "N. Odinokikh and V. Berikov",
note = "Funding Information: The work was partly supported by RFBR grants 18-07-00600 and 19-29-01175. The study was carried out within the framework of the state contract of Sobolev Institute of Mathematics (project no 0314-2019-0015). Publisher Copyright: {\textcopyright} 2021 Institute of Physics Publishing. All rights reserved. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; International Conference on Marchuk Scientific Readings 2020, MSR 2020 ; Conference date: 19-10-2020 Through 23-10-2020",
year = "2021",
month = jan,
day = "4",
doi = "10.1088/1742-6596/1715/1/012011",
language = "English",
volume = "1715",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Some properties of the classification algorithms using ensemble kernels

AU - Odinokikh, N.

AU - Berikov, V.

N1 - Funding Information: The work was partly supported by RFBR grants 18-07-00600 and 19-29-01175. The study was carried out within the framework of the state contract of Sobolev Institute of Mathematics (project no 0314-2019-0015). Publisher Copyright: © 2021 Institute of Physics Publishing. All rights reserved. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/1/4

Y1 - 2021/1/4

N2 - In this paper, we study the properties of the KCCE algorithm (Kernel-based Classification with Cluster Ensemble) proposed in our previous publication. Different strategies for choosing the ensemble weights are investigated from the point of view of their influence on the quality and speed of the algorithm. We perform numerical experiments with the algorithm on real datasets from the UCI repository under conditions of artificially added noise at different levels.

AB - In this paper, we study the properties of the KCCE algorithm (Kernel-based Classification with Cluster Ensemble) proposed in our previous publication. Different strategies for choosing the ensemble weights are investigated from the point of view of their influence on the quality and speed of the algorithm. We perform numerical experiments with the algorithm on real datasets from the UCI repository under conditions of artificially added noise at different levels.

UR - http://www.scopus.com/inward/record.url?scp=85100711322&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1715/1/012011

DO - 10.1088/1742-6596/1715/1/012011

M3 - Conference article

AN - SCOPUS:85100711322

VL - 1715

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012011

T2 - International Conference on Marchuk Scientific Readings 2020, MSR 2020

Y2 - 19 October 2020 through 23 October 2020

ER -

ID: 27878137