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It results into a reduced resampling error [38, 39].
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Furthermore, the isotropic voxel dimension reduced resampling artifacts when applying motion correction.
Further, the isotropic voxel dimension reduced resampling artifacts when applying motion correction.
Nevertheless, reduction of the storage requirements due to resampling and, therefore, a reduced voxel resolution involves the risk of negative influence on the evaluated effective BIC.
Next, A reduces the number of reference sets by the greedy resampling heuristic of SparseMap to the best k < z reference sets.
The proposed resampling architecture reduces the overall resampling time by a factor equal to the number of PEs.
In addition, correction with jack-knife resampling reduced its value only by 1 patient, to 395.
The optimal value of the regularization parameter, as determined by bootstrap resampling, reduced the parameter estimate for SLPI to zero, while the remaining 8 markers: TFPI, MDK, OPN, MMP2, TIMP1, CEA, CYFRA 21 1 and SCC, which retained non-zero coefficients, were selected in the final model.
This new method is based on the integration of traditional variation resampling and traditional resampling in a resampling architecture.
In this research, a new single distribution resampling technique has been created, known as AMSSDR, which is based on the combination of traditional resampling technique and traditional variation resampling technique in a resampling architecture.
As a second step, resampling confidence intervals for the failure probability are determined.
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