Sentence examples for higher balanced from inspiring English sources

This work shows that using an appropriate higher balanced order or band number improves the denoising performance of multiwavelet packet transform-based methods at little additional computational cost.

We demonstrate that the combination of different imaging modalities yields a significantly higher balanced classification accuracy (96%) than any one modality by itself (83% 88%).

This is because with an appropriate higher balanced order, the transform scheme provides more effective sparse image representation, a higher band number provides more flexible spatial-frequency domain partitioning, and the most suitable basis set for an analyzed signal can be selected for the multiwavelet packet transform scheme.

The copy number of the remaining chromosomes (those with no regions of gain or loss) is actually unknown, since they may be balanced disomy (AB), balanced tetrasomy (AABB) or even higher balanced states.

The balanced accuracy was computed for each permutation and a P-value for each classifier was derived by computing the proportion of random permutations achieving higher balanced accuracy than the nonpermuted classifier.

Fifth, the best solutions (those with the highest balanced accuracy) are selected for crossover and reproduction using user-specified proportions.

Subsequently, a balanced classification accuracy is calculated for each multi-locus combination, and the optimal model is selected based on the highest balanced accuracy.

The value that yielded the highest balanced accuracy, defined as (sensitivity + specificity)/2, was selected as the optimal cut-off value.

CORAL improves alignment accuracy on core regions over general profile methods, returning a balanced score of 0.57 for over 80% of all domain families in CDD, compared with the highest balanced score of 0.45 from other methods.

In this study, we used time-dependent ROC curves to find the cut-off that yielded the highest balanced accuracy for 15-year BCSS in this patient cohort [ 25].

MDR is first implemented in the training set for all possible combinations of loci and the x models with the highest balanced accuracy are retained for evaluation in the testing set.