Sentence examples for wrapper selection from inspiring English sources

After concluding that supervised methods with wrapper selection of variables enhance the classification, the next step was to determine which supervised algorithm was best able to discriminate between pyramidal cells and interneurons in our benchmark test.

There are several PLS-based wrapper selection algorithms, for example uninformative variable elimination (UVE-PLS) [ 18], where artificial random variables are added to the data as a reference such that the variable with least performance are eliminated.

Note that PImultivariate represents the multivariate model derived from the best of all possible combinations using the cytokines in the multivariate analysis having being previously selected by the wrapper feature selection method.

Then, an 11-dimensional feature vector is selected based on a wrapper feature selection algorithm and a support vector machine (SVM).

To select the optimal feature subset, a wrapper feature selection approach is carried out.

The SVM is integrated into a wrapper forward selection scheme to test whether a selected subset of genes is actually enough to discriminate the classes [ 15].

Statistical metrics have also been used for wrapper channel selection techniques.

Wrapper feature selection approaches are widely used to choose a small subset of relevant features from a dataset.

Both the weighted SVM training algorithm and the wrapper feature selection algorithm have been designed to provide the ability to generalize.

This RT variable importance assessment can be used to rank the importance of variables in a data set and consecutively in a wrapper variable selection algorithm.

Furthermore, various features are extracted from input video as well as earlier encoded data and an optimal feature subset is derived by a wrapper feature selection algorithm.