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Figure 7 shows that ferries method still outperforms geographical based method when the number of gateways are decreased from 12 to 8 (34%).
Whereas the geographical based method outperforms the ferries based method when the number of gateways in ferries based methods are decreased by 40% or to 7 gateways as shown in Fig. 8.
This concludes that the ferries based method still outperforms the geographical based method when the number of gateways in ferries method is less than geographical based method by 34%.
Our algorithm is better than the meta analysis model in general, and outperforms the public data based method when the privacy budget is larger than 1. Figure 1e shows how the number of iterations in distributed logistic regression algorithm ( l in Algorithm 2) will affect our algorithm's performance.
Early studies based on estimating GFR from the reciprocal value of serum cystatin C suggested that cystatin C was less biased and provided a more accurate method for estimating GFR values than creatinine based methods when directly measured GFR is in the normal to hyperfiltering range [ 12, 30– 30].
Hash based methods when well tuned can be faster than suffix array based methods, because the basic operations are simpler, but they typically require greater memory, particularly in cases where the suffix representation can be compressed as it can be here.
The former is an indirect Trefftz approach, which has a faster convergence rate and lower computational load compared to element based methods when applied on geometries of moderate complexity.
This method yielded more interpretable results than the indirect culture based method when applied to the same samples (Table 1).
This strategy is better than inpainting based method when it comes to serious degraded image.
Leith-Clifford performs on par with the gradient ascent-based methods when the number of channels available is high relative to moderate node density resulting from the given interference radius.
This study also confirmed that using unpartitioned CA-ML is often more accurate than coalescent-based methods when the ILS level is low enough, but that high ILS levels reverses this relationship.
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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