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We analyze the cost of different approaches compared in our paper.
We also analyze the feature size of the approaches compared in our experiments.
We compared it with the methods of Smoluchowski [ 22] and its extension by Andrews and Bray [ 17]. Figure 1 illustrates the different approaches compared in this study.
The Bayesian genomic prediction approaches compared in [ 19] achieved accuracies ranging from 0.84 to 0.92 and the methods compared in [ 25] from 0.70 to 0.90.
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Each of these approaches has advantages and disadvantages for decision makers and this paper focuses on how the two approaches compare in use.
Finally, the discussed behavior-based approaches compared and summarized in the last subsection.
Our retrospective analysis of datasets assembled from a large Saudi and multiple U.S. trauma centers employs a direct approach to compare in-hospital mortality across settings.
The results of two mathematical approaches are compared in the Table 3 and similar interaction was anticipated by the two statistical approaches.
The number of migrations for different approaches is compared in Fig. 5. Fig. 5 Comparison of the number of migrations in different approaches.
Both approaches were compared in this study.
The two approaches are compared in simulations.
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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