This article is cited 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

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.

UDC: 519.7

Received: 26.04.2011

DOI: 10.7868/S0044466913050050

 English version: Computational Mathematics and Mathematical Physics, 2013, 53:5, 640–646

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