Sentence examples for next classification from inspiring English sources

In an Incremental Support Vector Machine classification, the data objects labelled as non-support vectors by the previous classification are re-used as training data in the next classification along with new data samples verified by Karush Kuhn Tucker (KKT) condition.

Next, classification is performed using the Support Vector Machine (SVM) with a linear kernel.

Next classification stages, shown in Figure 6, do not need to evaluate the whole image.

Next, classification is performed with 25 different classifiers of different types.

Quantiles of the estimated cumulative genetic risk (P-Hat) using different genetic models is summarized in Table 4. Next, classification sensitivity and specificity were assessed.

Next, classification of the C2mE-related transgenic mice by a gene signature to distinguish human intestinal- and diffuse-type tumors showed C2mE-related transgenic mice were more similar to intestinal-type compared with diffuse one.

To compensate the movement, the next classifications and refinement used several soft-edged masks (Supplementary Fig. 2).

To feed the next module (classification), we sampled the mean value, standard deviation, root mean square (RMS) and FFT amplitude of the received signals.

Based on these findings, IDH1 mutation status is becoming part of the standard diagnostic assessment of these tumors and will likely be included in the next WHO classification of diffuse gliomas [ 2].

After preprocessing and named entity recognition, we selected the sentences with the gene IDs in the annotated data as the positive (evidence) and negative (non-evidence) examples for the next text classification module.

The next largest classification comprised the remaining exposure groups, in which the 2 Gy X-ray, 1.0 and 1.5 Gy α-particle and 5 and 10 Gy X-ray were classified further from the controls in order of descending similarity respectively.