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Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2015, Issue 2, Pages 50–67 (Mi itvs190)  
Statistical analysis of characteristics of the recognition method on the training set

B. M. Gavrikova, M. B. Gavrikovb, N. V. Pestryakovac

a Moscow Engineering Physics Institute (National Nuclear Research University)
b Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Moscow
c Institute for Systems Analysis of Russian Academy of Sciences
Full-text PDF (259 kB)
Abstract: The results of statistical research of the evaluation function, the vector of primary signs and also the matrix of weight coefficients obtained during the training phase with the use of probabilistic high-precision method of recognition of handprinted characters are described.
Keywords: classification, polynomial regression, printed and hand-printed symbols.
Funding agency Grant number
Russian Foundation for Basic Research 13-07-12176 офи_м
13-07-00262 а
Document Type: Article
Language: Russian
Citation: B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “Statistical analysis of characteristics of the recognition method on the training set”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2015, no. 2, 50–67
Citation in format AMSBIB
\Bibitem{GavGavPes15}
\by B.~M.~Gavrikov, M.~B.~Gavrikov, N.~V.~Pestryakova
\paper Statistical analysis of characteristics of the recognition method on the training set
\jour Informatsionnye Tekhnologii i Vychslitel'nye Sistemy
\yr 2015
\issue 2
\pages 50--67
\mathnet{http://mi.mathnet.ru/itvs190}
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