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Moreover, greater agreement was found between all algorithms at the lowest-density of markers (last row of each scatterplots in Figures S1, S2, S3, S4 and S5 [See Additional file 2: Figures S1, S2, S3, S4 and S5], since the ESS were generally much greater (results not shown) in that case; that is, higher ESS generally translates into smaller Monte Carlo error.
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This broad availability of algorithms that perform the Feature Selection task gives rise to the difficulty of choosing, a priori, between the algorithms at hand, the most promising one for a particular problem.
In other words, there is not noticeable difference between different algorithms at the high SNR regime.
We found no statistically significant differences in sensitivity between the algorithms (at fixed selectivity), indicating that SBaSeTraM's performance is at least comparable to the leading currently available algorithm.
Comparisons were made between threshold algorithms at visit 3 and also within each algorithm between visits 2 and 3.
Then, we did a comparison between the FXLMF and FXLMS algorithms at low and high SNR for white Gaussian noise.
One-way ANOVA with post-hoc multiple comparisons was used to compare image SNR and residual volume characteristics between different reconstructions algorithms at each tube current plus at different tube currents for each reconstruction algorithm.
On the other hand, the OLT approach is simple insofar as it does not switch between two different algorithms at the switching surface; it merely chooses when to take the next sample.
The group mean differences are illustrated in Table 5.> For total deviation probabilities, the average area of visual field defect between two threshold algorithms at the final visit varied by up to 17%.
The GLM was better than all other algorithms at detecting single-day surges in cases (73.4%, 95% CI = 62.4%–84.4%), with the exception of EWMA9, where the difference between the two methods was not significant (p < 0.05).
All algorithms are applied at the individual level.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com