Sentence examples for the classification approach from inspiring English sources

The evidence supports the classification approach quite well; however, the ranking procedure cannot be completely refuted.

The classification approach compares features derived from an autoregressive (AR) model coefficient vector cross-assurance criterion.

The conducted experiments on challenging benchmark data sets validate the proposed model and the classification approach.

The classification approach builds on random forest classification with learning data extracted from higher resolution land cover maps.

The classification approach provides adequate quantitative technical support for flexible policy design and has the potential to promote efficient regional emission reduction, optimize regional industrial structures and distribute enterprises rationally.

The classification approach has recently shown to be a suitable representative model for treating data disaggregation in which the primary task is to identify or predict multiple load usage from aggregate data.

Lastly, we also considered a scenario with very high expression levels to test the potential limitations of the classification approaches.

They mainly differ in either the feature extraction methods or the classification approaches.

The effectiveness of the classification approaches were then estimated (Figure 4A) using the actual folds of the test sequences as reference.

We further inspected if the classification approaches retrieved additional functional peaks, i.e., the peaks that were mapped to SRC-1-sensitive genes derived from microarray experiment.

For narrative convenience, we also denote the classification approaches using l1LS, NNLS, and l1NNLS sparse coding as l1LS, NNLS, and l1NNLS, respectively.