Sentence examples for labels generated by from inspiring English sources

The output labels generated by the system were compared against the manually annotated ground truth.

The output labels generated by the system were compared against manually annotated ground truth obtained for Cape Town cohort.

The output labels generated by the model for the unlabeled data are treated as true labels, and the models are retrained using the combination of original training data and this newly generated labeled data.

We are interested in using the networks with subtype labels generated by NBS to identify the primary tumor site.

Figure 4-b shows the classification label generated by SVM1 and SVM2.

The labeling generated by the isoQC antiserum 3285 in wild-type mouse brain was completely absent in isoQC knock-out but not in QC knock-out mouse brain tissue demonstrating the specificity of this antiserum for isoQC (Fig.  1b).

Participants discussed the content of the main clusters and reached agreement through consensus on the most appropriate cluster labels out of the several labels generated individually by participants during the sorting activity.

For example, "made of cloth," "made of material," and "made of fabric" have been collapsed into a single feature (made of fabric_cloth_material), because these feature labels were generated by nonoverlapping sets of participants, indicating that participants had the same semantic feature in mind but used different labels to verbalize it.

For example, product graph kernel is based on the idea of counting the number of walks in product graphs [30]; marginalized graph kernel works by comparing the label sequences generated by synchronized random walks of labeled graphs [31]; and cyclic pattern kernels for graphs count pairs of matching cyclic/tree patterns in two graphs [32].

Because the probes of the 3'IVT Wheat Genome Array are designed to hybridize to antisense-orientated labeled cRNA derived from sense strand transcription, the sense-orientated labeled cDNA generated by the WT assay will not hybridize to the array unless it was derived from antisense transcription.

As the efficiency (number of single label predictions) generated by the conformal predictor will vary depending on the confidence level applied, evaluating different confidence levels will identify if it is better to screen a small set of compounds with higher confidence or a larger set but with more uncertainty.