Sentence examples similar to increasing classification of from inspiring English sources

They found a significant association between increasing risk of digit amputation with higher classification tier and an inverse correlation between increasing classification group and return of total active motion.

The use of ancillary data generally increased classification accuracy and showed a similar potential for increasing classification accuracy than the selection of the classifier.

Assessment of our approach on simulated data sets indicates substantially increased classification accuracy of the presented method compared to two state-of-the-art approaches.

The procedure performs voxel selection on the training set only, yet increases classification performance of the test data.

As expected, based on the derivative, we observed increased classification accuracy of independent spatial and to some degree also temporal features in M1, while in premotor areas such as the PMd, the independent classifiers performed much worse, in line with the evidence suggesting weaker finger representations in premotor areas (Diedrichsen et al., 2013b).

Progressive removal of the first 16 graph metrics (in order of increasing feature importance) increased classification accuracy, as a result of reduced overfitting in the SVMs.

Bagging increased classification accuracy for some of these phenotypes up to 69%.

With the present trends in rising the importance of β-glucosidases in industrial applications, this review is an update on fungal β-glucosidases particularly from Trichoderma species, an overview of their increasing significance, classification of the enzymes, their structure and properties, and also their prospective role in biotechnological applications.

The use of two text-similarity-recognition programs also improved the rate of detection and, in some theses, significantly increased the classification of the gravity of the plagiarism encountered.

The application of RGIFE increased the classification of all five datasets, except for E-GEOD-27290, which was already at 100%.

It is shown that small learning sets increase classification error of the expert classifiers and damage correlation structure between their outputs.