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Bootstrap and Counter-Bootstrap approaches for formation of the cortege of Informative indicators by Results of Measurements

机译:通过测量结果,Bootstrap和Extrot-Bootstrap用于形成信息性指标的核对的方法

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This article describes the solution of the actual problem of the productive formation of a cortege of informative measured features of the object of observation and / or control using author's algorithms for the use of bootstraps and counter-bootstraps technologies for processing the results of measurements of various states of the object on the basis of different volumes of the training sample. The work that is presented in this paper considers aggregation by specific indicators of informative capacity by linear, majority, logical and "greedy" methods, applied both individually and integrally. The results of the computational experiment are discussed, and in conclusion is drawn that the application of the proposed methods contributes to an increase in the efficiency of classification of the states of the object from the results of measurements.
机译:本文介绍了使用作者算法的观察和/或控制对象的信息形成的实际问题的解决方案,用于使用作者的算法来使用自动启动和反举举报技术来处理各种测量结果基于不同卷训练样本的对象的状态。本文提出的工作考虑了通过线性,多数,逻辑和“贪婪”方法的信息能力的具体指标的聚合来,单独和一体地应用。讨论了计算实验的结果,并得出结论,所提出的方法的应用有助于从测量结果中增加对象的分类效率。

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