Sentence examples for increase in classification from inspiring English sources

Dynamic boundaries at this level resulted in a nearly 2-fold increase in classification efficiency over static boundaries.

Two novel self-recalibrating classifiers produce a [Formula: see text] increase in classification accuracy over that achieved by the non-retrained classifier to nearly recover the performance of the daily retrained classifier.

Overall the SVMs applied to the reduced feature subspaces that were composed of the most informative multi-seasonal features led to a clear increase in classification accuracy up to 4.3%, and to a significant decline in thematic uncertainty.

However, the increase in classification rates is small because of the lack of training data.

Kernel NBNN produces increase in classification accuracy over the use of the basic NBNN algorithm.

Our proposed method presents a slight increase in classification accuracy by 0.01%%.

After 20 Gaussian processes, increasing number of Gaussian processes does not result in notable increases in classification accuracy or decreases in pose estimation error.

More work is needed to verify the extent to which such benefits are realisable, which may augment the advantages offered by small increases in classification performance.

From Table 3, we observe that with fewer than 20 Gaussian processes, increasing the number of Gaussian processes results in noticeable increases in classification accuracy and also decreases in pose estimation error.

In areas that showed the largest increases in classification accuracy, no changes in average activation were found.

FibroMeter3G was the only diagnostic method with a significant increase in correct classification rate of fibrosis class classification compared to significant fibrosis diagnosis.