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The generally superior performance of the random walk methods suggests that the clustering and neighborhood methods are too restrictive when defining their locality.
The test was performed on the hypothesis that the average performance of the random results are statistically lower than the results in this study.
In these figures, we can see that our scheme performs better in ten SU scenarios but becomes inferior to the performance of the random channel selection method when SU transmission probability is 0.4 in the scenario having five SUs.
We note that the performance of the random selection was not significantly affected by ϕ(r).
On the contrary, the performance of the random protocol is not affected by the propagation delay.
We compare the performance of the random antenna selection with the conventional fixed antenna selection.
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We also modeled and simulated a data center using a random-based task-scheduling scheme [32] to compare the performance of the random-based and the MESF schemes.
If this is correct, the better performance of the random-context condition should pertain only to a localization task, while a discrimination task, for instance, should remain unaffected.
The performances of the random and optimal schemes stay constant with the increase of the number of random trajectories.
Comparing performance of the biomarker against the performance distribution of the random gene sets will immediately show whether these perform better than random and are worthwhile proceeding with [ 3, 4].
For example, it has been shown that enlarged negative training set sizes hinder the recall performance of the SMO, Random Forest, Ibk and J48 algorithms [67].
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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