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The prediction-based method required fewer respondents to produce stable results; in addition, it was more robust against bias than individual ratings [ 14].
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Compared with the traditional model, TFRWν-SVM method requires fewer samples and has better forecasting precision.
This method requires fewer computations and it provides a clearer physical interpretation, so it has advantages in some qualitative research.
This regression-based directed sampling and estimation method requires fewer points than co-kriging to develop reliable imagery-crop attribute relationships, and thus is potentially less expensive.
It is shown that the proposed method requires fewer computational resources than other numerical approaches addressing the same type of problems.
Optimal results acquired in all illustrated examples reveal that the proposed method requires fewer number of analyses than the original SOS and the DE, but still gaining high-quality solutions.
Apparently, the production method requires fewer processes, meaning producers need less equipment.
(4) Computational complexity: Compared with the subspace method [21], the proposed method requires fewer computations.
Among all the response surface methods, this method requires fewer runs in a three-factor experimental design (Chung et al. 2007).
Table 1 lists the number of computations for the original algorithms, showing that the Cholesky-based method requires fewer computations than the SVD-based method and so the trade-off between performance and complexity is justified.
From Fig. 6, one can deduce that our proposed DFTCOMM method requires fewer arithmetic operations than the competing SRFFTpruning method in almost all the test cases (with the only one exception for the case L o = N/2 and L o = N/4).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com