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Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki, 2013, Volume 53, Number 5, Pages 808–815
DOI: https://doi.org/10.7868/S0044466913050050 (Mi zvmmf9861) 		 
This article is cited in 1 scientific paper (total in 1 paper)

Estimation of the reliability of a classification algorithm as based on a new information model

S. I. Gurov

M. V. Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics
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DOI: https://doi.org/10.7868/S0044466913050050
Abstract: A new approach to the estimation of the reliability of classification algorithms is proposed. The approach is based on an unconventional information model of such algorithms. Examples of new estimates are given, which are compared with usual statistical estimates.
Key words: reliability of classification, pattern recognition, information model.
Received: 26.04.2011
English version:
Computational Mathematics and Mathematical Physics, 2013, Volume 53, Issue 5, Pages 640–646
DOI: https://doi.org/10.1134/S0965542513050059
Bibliographic databases:
Document Type: Article
UDC: 519.7
Language: Russian
Citation: S. I. Gurov, “Estimation of the reliability of a classification algorithm as based on a new information model”, Zh. Vychisl. Mat. Mat. Fiz., 53:5 (2013), 808–815; Comput. Math. Math. Phys., 53:5 (2013), 640–646
Citation in format AMSBIB
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    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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