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Artificial Intelligence and Decision Making, 2013, Issue 4, Pages 45–56
(Mi iipr414)
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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.
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
Linking options:
https://www.mathnet.ru/eng/iipr414 https://www.mathnet.ru/eng/iipr/y2013/i4/p45
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Abstract page: | 32 | Full-text PDF : | 12 | References: | 1 |
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