This paper presents an optimization approach—residual-based bootstrap averaging(RBBA)—for different types of forecast *** traditional residual-mean-square-error-based ensemble forecast averaging approaches,the RBBA ...
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This paper presents an optimization approach—residual-based bootstrap averaging(RBBA)—for different types of forecast *** traditional residual-mean-square-error-based ensemble forecast averaging approaches,the RBBA method attempts to find optimal forecast weights in an ensemble and allows for their combi-nation into the most effective additive *** the RBBA method,all the different types of forecasts obtain the optimal weights for ensemble residuals that are statisti-cally optimal in terms of the fitness function of the *** studies have been conducted to demonstrate why and how the RBBA method *** experi-mental results based on the real-world time series of contemporary stock exchanges show that the RBBA method can produce ensemble forecasts with good generalization ability.
The article describes the experience of teaching students of Big data analytics-related fields the basics of data science. The teaching methodology used at the Financial University under the Government of the Russian ...
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The procedure of building control charts with variable control limits based on nonparametric bootstrap percentile method is proposed. It makes possible to construct control chart of any statistic with unknown continuo...
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This article describes the author's methodology for determining the genre of music from a melody using machinelearning and parallel data processing. For determination is used dataset formed by the author, on the ...
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The paper discusses generative artificial intelligence technologies used to improve the efficiency of fire detection in satellite images. Different detector architectures are proposed and compared in terms of accuracy...
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Achieving national technological sovereignty is a complex problem that combines the tasks of social and industrial development. The article contains the results of a study on elaborating mechanisms for harmonizing the...
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A study of the relationship between some selected environmental indicators and the presence of socially significant diseases in the population of Moscow was carried out. A statistically significant correlation was con...
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The paper considers the problem of estimating the coordinates of objects detected from a video sequence of images from an Intel Real Sense cameras. An object detection system was developed by using the YOLOv5 convolut...
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Uncertainty quantification has received increasing attention in machinelearning in the recent past. In particular, a distinction between aleatoric and epistemic uncertainty has been found useful in this regard. The l...
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An approach to assessing the value of intellectual capital has been developed. Models demonstrating the impact of intellectual capital and its components on the financial performance of companies implementing a digita...
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