Regression Estimate of a Multidimensional Decision Function in the Two-Alternative Pattern-Recognition Problem


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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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