Sentence examples for discarding features from inspiring English sources

Results demonstrate that discarding features that are more prone to distortions allows lighter processing, but also produces better performance than using the full set of features.

Aggregating feature counts provided adequate feature density and reduced the dimensionality without discarding features that could be informative.

The system is able to discard features that are not extremely necessary for the tasks, thus, reducing the processing time.

We show the number of features selected by each algorithm in Tables 6 and 7, which also lists the number of discarded features, input features, and target features.

(2) H-MTL and GA-MTL-IR both use the same prediction risk criterion to discard irrelevant features, so the features discarded are the same and hence the number of discarded features are the same.

Additionally the percentage of instances of a given phenotype can also be used to discard features that are likely to be irrelevant.

Dye-swap pairs were filtered to discard features with signal-to-noise ratio less than two, and LOWESS normalized separately before being combined.

Furthermore, the ratio of the number of input features to the number of output features for GA-MTL is similar to the ratio of the number of input features to the number of discarded features for GA-FS.

The basic idea is to use the selected features as the input feature set and to combine the target values with some of the discarded features to form the target output.

(3) For e-GA-MTL, although the number of input, output and discarded features are determined automatically by the genetic algorithm, the ratios among these numbers are similar to those for H-MTL and GA-MTL-IR.

To discard feature points of low contrast, the value of the second-order Taylor expansion is computed at the offset x ^.