Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2013, Issue 4, Pages 45–56 (Mi iipr414)  

Acquisition of knowledge and automation of reasonings

Statistical pattern recognition based on probabilistic neural network with homogeneity testing

A. V. Savchenko

National Research University – Higher School of Economics in Nizhny Novgorod
Abstract: Statistical pattern recognition was reduced to the hypothesis test for homogeneity. The probabilistic neural network (PNN) modification was proposed to achieve its optimal decision in terms of minimum Bayes-risk. The comparative analysis' results of the proposed modification with an original PNN were presented in a problem of automatic author identification.
Keywords: statistical pattern recognition, probabilistic neural network, hypothesis test for samples homogeneity, Kullback-Leibler minimum information discrimination principle.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. V. Savchenko, “Statistical pattern recognition based on probabilistic neural network with homogeneity testing”, Artificial Intelligence and Decision Making, 2013, no. 4, 45–56
Citation in format AMSBIB
\Bibitem{Sav13}
\by A.~V.~Savchenko
\paper Statistical pattern recognition based on probabilistic neural network with homogeneity testing
\jour Artificial Intelligence and Decision Making
\yr 2013
\issue 4
\pages 45--56
\mathnet{http://mi.mathnet.ru/iipr414}
\elib{https://elibrary.ru/item.asp?id=21064700}
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  • https://www.mathnet.ru/eng/iipr/y2013/i4/p45
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