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In the static weighted-average method, we use the same weight for the distances between physical subcarriers and between OFDMA symbols.
By using the averaging method, we give the averaged form of neutral SFDEs (1) and show that the pth moment of solution to equation (7) is bounded.
In this study we have attempted to avoid these same criticisms by ensuring that when illustrating our proposed averaging method we did so over a range of plausible candidate models, ensuring that a measure of air pollution exposure is included in each candidate model, focusing on single-pollutant models, and also investigating predictive performance.
Here we adopt the best-match average combination method: we take only the best matched terms and estimate their average Resnik-based similarities.
With sample average approximation method, we propose stochastic distributed learning algorithms to help secondary users satisfy the constraints with the feedback information from primary links when maximizing the utilities.
Consistent with the simpler averaging method that we used before, it pegs the endorsement as having roughly an 11-percentage-point impact.
The main objective of this paper is to study the stability and the type of transition of the Taylor problem in the wide-gap case by using the averaging method, and we conclude that the stability of the Taylor problem in the wide-gap case is essentially the same with that in the case of the narrow-gap.
Based on this matrix, we used average method in AGNES to do cluster.
Here we use a weighted average method to computing the overall similarity.
For microarray expression data, we calculated Pearson-Correlation Coefficients (average method) to measure the correlation between the expression profiles [7], [28] of a pair of genes.
Moreover, we also need to apply the sample average method to tackle the value of α − E ( ζ k i ).
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