Sentence examples for contribute to classification from inspiring English sources

As the partial involvement of a tissue biopsy by lymphoma cannot be excluded, sampling error may also contribute to classification error rates.

Two of the four clusters are relevant to classification and these two discriminative clusters C1 and C2 contribute to classification independently.

In short, the strongly relevant feature is indispensable in the KJ sense and cannot be removed without loss of prediction accuracy, while a weakly relevant feature can sometimes contribute to classification performance.

It is also worth noting that the rewarding outcome associated with both scenes was identical, excluding the possibility that neural representations of the outcome itself could contribute to classification accuracy.

Representative regions of interest, outlining the primary generators contributing to classification, were found to correspond closely to networks involved in error detection and performance monitoring.

Figure 5A D shows descriptors that contributed to classification of all the categories.

In contrast, bilateral STG and the planum temporale contributed to classification, but as a result of a relative increase in activation to unintelligible sounds.

The fact that there were some regions of the temporal cortex that responded more strongly to rotated than to clear speech highlights the need to account for how the relative magnitude of activation to each condition contributes to classification accuracy.

The final discriminant analysis involved inclusion of only those AP (DDT and FPT), cognitive (NVIQ and attention), and report-based measures (ECLiPS [L/L/L and M&A] and TEAP) that the preceding analyses (1 4) suggested contributed to classification.

In contrast, voxels lateral and posterior to PAC in the STG and planum temporale (and to a lesser extent in the posterior STS) contributed to classification, but as a result of a relative increase to unintelligible sounds when compared with intelligible speech.

Similar trends were observed in the distribution of predicted probabilities of redundancy, with transcription factors skewed toward lower values We examined the average values of attributes among redundant and non-redundant pairs to ask how attribute values contributed to classifications.