Construction of a correct combination of estimation algorithms adjusted using the cross validation technique

Abstract

A scheme for constructing a combination of estimation algorithms that is correct on a given training sample is proposed. The basic elements of the combination are algorithms obtained using the cross validation training technique.

Identifiers

DOI

10.1134/s0965542515120064

Citations and references