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191.082  Articles
1 of 19.109 pages  |  10  records  |  more records»
Context. A solution to the relevance problem of selecting and recognizing specified radio emissions in the presence of unknown radio emissions in automated radio monitoring is considered. It is proposed to solve the problem in an unconventional method for... see more

The activity of selecting bidders is one of the most important activities carried out by companies to order goods or services for bidders, but at meetings of the company leadership it is difficult to select bidders to make business partners because there ... see more

It is a hot issue to be widely studied to determine the factors affecting students' performance from the perspective of data mining. In order to find the key factors that significantly affect students' performance from complex data, this paper pro-poses a... see more

The single index support vector regression model (SI-SVR) is a useful regression technique used to alleviate the problem of high-dimensionality. In this paper, we propose a robust variable selection technique for the SI-SVR model by using vital method to ... see more

The paper studies ways of parallelization of hybrid immune algorithm of short-term forecasting of time series built on the basis of clonal selection model that uses case-based reasoning and the simplest methods of forecasting. There has been ana... see more

Model selection uncertainty would occur if we selected a model based on one data set and subsequently applied it for statistical inferences, because the "correct" model would not be selected with certainty.  When the selection and inference are based... see more

The single index support vector regression model (SI-SVR) is a useful regression technique used to alleviate the problem of high-dimensionality. In this paper, we propose a robust variable selection technique for the SI-SVR model by using vital method to ... see more

This study investigates an application of Friedman statistic as a model selection methodology on post estimation data. The Friedman statistic is employed for testing the possible differences between related samples by ranking the data. Similarly, we sugge... see more

Although model selection is routinely used in practice nowadays, little is known about its precise effects on any subsequent inference that is carried out. The same goes for the effects induced by the closely related technique of model averaging. This pap... see more

1 of 19.109 pages  |  10  records  |  more records»