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Finally, the proposed algorithm exhibits both lower execution times and estimation errors compared to current noninvasive estimation techniques based on the use of the HT.
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The proposed algorithm similar to Monte Carlo simulation achieves the same results; however with lower execution time.
This tool produces optimized results at a lower execution time for large bioassay data sets.
In summary, for target accuracy, we should evaluate both two schemes and select the scheme that has lower execution time.
The MATLAB implementation has been compared with the MATLAB function funm on matrices of different dimensions, obtaining lower execution time and higher accuracy in most cases.
This feature is enabled by compiling down to levels much below the machine code, which brings important additional effects: much lower execution time, equipment size, and power dissipation.
GPUs with a large number of computational cores and larger video RAM can run large bioassay data sets with significantly lower execution time.
Experimental results based on benchmark and real-world data show that, compared to their competitors, our feature weighting approaches show higher classification accuracy, yet at the same time maintain the simplicity and lower execution time of the final models.
The results show that our algorithm has a lower execution time and better quality of service than that obtained without using our algorithm, thus allowing us to satisfy the flexibility and efficiency demands of multi-domain networks.
For the HD7970 this is (N_{mathrm{threads}}=256) while for the Kepler architectures (N_{mathrm{threads}}=512) gives a slightly lower execution time than (N_{mathrm{threads}}=256) and (N_{mathrm{threads}}=1024).
From Table 3 and Fig. 7, we could clearly observe the LCCDC metric to consistently incur a lower execution time compared to the BWC, EVC, and ClC metrics for each of the real-world networks analyzed.
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