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This saving is due to the considerable reduction in required distance evaluations, and the increased speed at which distance evaluations between the vectors can be made.
The main advantage in using a data embedding approach is the reduction in the number of pair-wise expensive distance evaluations that need to be calculated.
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The connectivity distance evaluation process is then repeated 10,000 times.
The most sensitive feature of the vibration signals has been determined using compensation distance evaluation technique.
The distance evaluation trellis has specific properties regarding its free paths.
This paper describes the distance evaluation (i.e. 'televaluation') of emerging Web-based information technologies.
Hence, a feature subset can be selected when the distance evaluation criterion α j is greater than a given threshold.
A two-stage feature selection and weighting technique (TFSWT) via Euclidean distance evaluation technique (EDET) is presented and adopted to select sensitive features and remove fault-unrelated features.
The distance evaluation criteria α and β, and the corresponding feature weights of dataset 2, are shown in Figure 9a, b, respectively.
In this paper, an improved hybrid feature selection technique (IHFST) that combines a distance evaluation technique (DET), Pearson's correlation analysis, and an ad hoc technique is proposed.
In essence, for APRIL-based distance evaluation, the GRA is required, which can be calculated via the derivative of the PRA with respect to the wavelength.
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