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This constitutes the main difference between the two algorithms.
The difference between the two algorithms lies in the ranking strategy used at step 2b.
Figure 4 shows a reward distribution comparison between the two algorithms for loss probability of 0.5 and 15 users.
The differences between the two algorithms are not significant, even though DIAMoND outperforms the parallel algorithm in precision.
Results show very minor overall performance differences between the two algorithms, obtaining in general comparable perceptual scores.
The main difference between the two algorithms is the way they account for the topology of the substructure.
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This continuous interaction between the two algorithm blocks results in an implicitly balanced algorithm in that all the nonlinearities due to coupling of different time terms are converged.
Communication is well designed between two threads running the two algorithms individually by exchanging three kinds of information during iterations.
However, the higher is the sensor SNR, the lower is the difference between the performance of the two algorithms.
After post-processing with our algorithm, ∼41% (93) of the mismatches were corrected, which significantly improved the overlap between the results from the two algorithms.
If the p-value is less than the significance level (p = 0.05), we will say that there is a significant difference between the performance of the two algorithms.
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between the two cases
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com