Regression Estimate of a Multidimensional Decision Function in the Two-Alternative Pattern-Recognition Problem
- Authors: Lapko A.V.1,2, Lapko V.A.1,2
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Affiliations:
- Institute of Computational Modelling
- Reshetnev Siberian State Aerospace University
- Issue: Vol 28, No 1 (2018)
- Pages: 11-16
- Section: Mathematical Method in Pattern Recognition
- URL: https://bakhtiniada.ru/1054-6618/article/view/195282
- DOI: https://doi.org/10.1134/S1054661818010108
- ID: 195282
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Abstract
The approximation properties of the regression estimate of the decision function in the two-alternative pattern-recognition problem are studied. This is used to find the dependence of the approximation quality on the discretization methods of the values of the random variable and its dimension.
About the authors
A. V. Lapko
Institute of Computational Modelling; Reshetnev Siberian State Aerospace University
Author for correspondence.
Email: lapko@icm.krasn.ru
Russian Federation, Krasnoyarsk, 660036; Krasnoyarsk, 660014
V. A. Lapko
Institute of Computational Modelling; Reshetnev Siberian State Aerospace University
Email: lapko@icm.krasn.ru
Russian Federation, Krasnoyarsk, 660036; Krasnoyarsk, 660014
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