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

A. V. Lapko; V. A. Lapko

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

机译：两种替代模式识别问题中多维决策功能的回归估计

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摘要

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.

机译：摘要研究了两替代模式识别问题中决策函数的回归估计的近似性质。这用于找到近似质量对随机变量的值的离散化方法的依赖性及其维度。

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《Pattern recognition and image analysis: advances in mathematical theory and applications in the USSR》 |2018年第1期|共6页
作者
A. V. Lapko; V. A. Lapko;
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作者单位

Institute of Computational Modelling Russian Academy of Sciences Siberian Branch;

Institute of Computational Modelling Russian Academy of Sciences Siberian Branch;

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原文格式 PDF
正文语种 eng
中图分类模式识别与装置;
关键词
pattern recognition; decision function; regression estimate; asymptotic properties; discretization methods;

机译：模式识别;决策功能;回归估计;渐近性质;离散化方法;

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

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