Vestnik Novosibirskogo Gosudarstvennogo Universiteta. Seriya Matematika, Mekhanika, Informatika
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Vestnik Novosibirskogo Gosudarstvennogo Universiteta. Seriya Matematika, Mekhanika, Informatika, 2015, Volume 15, Issue 2, Pages 72–89
DOI: https://doi.org/10.17377/PAM.2015.15.206 (Mi vngu369) 		 
This article is cited in 2 scientific papers (total in 2 papers)

On performance of boosting in classification problem

V. M. Nedelkoab

a Novosibirsk State University
b Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk
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DOI: https://doi.org/10.17377/PAM.2015.15.206
Abstract: The work provide some new explanation of effectiveness of the boosting methods. The main reason why boosting makes good decision functions on real world tasks is that the boosting utilizes some pattern of feature independence. We also discuss margin based risk estimations with relation to boosting and show that margin depends on complexity of composition.
Keywords: boosting, pattern recognition, machine learning, margin, misclassification probability.
Funding agency Grant number
Russian Foundation for Basic Research 14-01-00590
14-07-00249
Received: 15.11.2014
Document Type: Article
UDC: 519.246
Language: Russian
Citation: V. M. Nedelko, “On performance of boosting in classification problem”, Vestn. Novosib. Gos. Univ., Ser. Mat. Mekh. Inform., 15:2 (2015), 72–89
Citation in format AMSBIB
\Bibitem{Ned15}
\by V.~M.~Nedelko
\paper On performance of boosting in classification problem
\jour Vestn. Novosib. Gos. Univ., Ser. Mat. Mekh. Inform.
\yr 2015
\vol 15
\issue 2
\pages 72--89
\mathnet{http://mi.mathnet.ru/vngu369}
\crossref{https://doi.org/10.17377/PAM.2015.15.206}
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    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Вестник Новосибирского государственного университета. Серия: математика, механика, информатика
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    Full-text PDF :141
    References:43
    First page:14
     
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