Sentence examples for best subset of features from inspiring English sources

These features were chosen because they have been previously identified as the best subset of features that better discriminates chemical names [15, 16].

This module optimizes the classifier design by searching for the best value of the parameters that tune its discriminant function (kernel parameters selection) and upstream by looking for the best subset of features that feed the classifier.

This module optimizes the classifier design by searching for the best value of the parameters that tune its discriminant function, and upstream by looking for the best subset of features that feed the classifier.

Instead of evaluating the similarity between individual features and class labels, wrapper methods seek for a best subset of features by evaluating the subset as a whole based on classification performance.

In this module, it the SVM classifier design is optimized by searching for the best value of the parameters that tune its discriminant function (kernel parameter selection) and upstream by looking for the best subset of features that feed the classifier.

Then the best subset of features is chosen to maximize the multiple linear regression output.

Once the (α, β Th ) selection criteria are applied and unregulated features removed, ranking of differentially expressed features can be performed by DFC score (5) and used for selecting best subset of differentially expressed features.

These methods represent gene expression as a linear combination [20] or logic regression [19] coefficients of candidate motifs, and the best subset of candidates are selected with feature selection methods or sparsity penalization during regression.

Although the approach used in the present paper does not ensure an exhaustive search of the best subset of independent predictors, it considers all local changes to the current set of features and makes an optimal selection.

GENIE is similar to MRNET in that it also lets each gene take on the role of a target regulated by the remaining genes and then uses a feature selection procedure to identify the best subset of regulator genes.

In the first stage, the feature selection algorithm is implemented to select the best subset of voxels.