Regression Estimate of a Multidimensional Decision Function in the Two-Alternative Pattern-Recognition Problem
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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.
Keywordspattern recognition decision function regression estimate asymptotic properties discretization methods
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