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Combination with best value is selected for next migration point collectively.
When this is the case, and the alternatives to examine are finite and few in number, it is clear that the procedure for solving the problem is straightforward: the indicator (objective) is assessed in correspondence with each alternative, and the alternative that provides its best value is selected.
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The best threshold value is selected using different simulations.
Pareto frontier is obtained for triple and dual objectives and the best optimal value is selected through four different decision making techniques viz.
The point with minimal function value is selected as the best choice at present.
The departure from traditional video coding is that the MAD value cannot be calculated for each mode, where the minimum value is selected as the best mode.
Thus, only decoded modes can be used for a comparison, and the minimum MAD value is selected as the best block.
Next, a number of antibodies with the best affinity value are selected and cloned.
For each combination, we repeated the training and test for 100 times and calculated the mean and standard deviation of the area under the receiver operating characteristic (ROC) curve, and the gamma and C-values for the best mean value were selected.
The best cut-off value was selected based on optimized Youden index.
Different sets of values of all the parameters of GA are tested and the best set of values is selected for analysis which gives better optimum solution of the problem.
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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