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Figure 12 shows the comparison of the measured values obtained by different algorithms for the brake pad and the bearing.

Figure 7 Standard deviations of different algorithms for Dataset 3. X-axis presents number of cycles, and Y-axis indicates standard deviations of classification accuracy after optimized by different algorithms for 20 times runs.

The purpose of this study is to compare summary statistics of the estimated utility values produced by different algorithms for common complications of diabetes.

Hence, the scoring function is useful, as shown here, to get unified ranking of the biclusters (i.e. meta-biclustering algorithm) produced by different algorithms for different parameter settings.

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Further, since all the proteomics data are comprehensively searched against all available protein sequences, EPICDB is a good resource for assessing discrepancies among sequences predicted by different algorithms and for examining splice variants of the same gene.

The requirement of acyclicity can be lifted (at the expense of a slight increase in runtime) by using different algorithms for finding single shortest hyperpaths [27], whereas the algorithm by Nielsen et al. assumes the hypergraph to be a B-hypergraph.

The best statistical coefficient of multiple determinations (R2-value) for training data equals to 0.999715, 0.995627, 0.999497, and 0.997648 obtained by different algorithms with seven neurons for the non-dimensional exergy losses of evaporator, generator, absorber and condenser, respectively.

In a first experiment, neither coverage nor capacity gains are considered in FoM. Figure 10 shows the normalized cost obtained by the different algorithms for different d max values.

By substituting different algorithms for establishing homology (e.g. various alignment algorithms, k-mer spectrum methods, etc)., different sensitivity and specificity might be achieved.

Before considering the actual imputation results produced by the different algorithms for reference panel selection, we empirically validated the stability of the adapted PAM algorithm in choosing the minimum-ADCL panel.

Winchester et al. (2009) reported that PennCNV is the most accurate program in the prediction of CNVs for the Illumina's platform by comparing different algorithms for CNV detection [ 7].

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