Sentence examples for to a variable selection from inspiring English sources

A set of E-Dragon descriptors (1,666) were submitted to a variable selection through Ordered Predictor Selection (OPS) algorithm.

Following the main principle to build a variable selection ensemble, we propose in this paper a novel approach by randomizing outputs (i.e., adding some random noise to the response) to maximize variable selection accuracy.

Given the large number of predictor variables in a GWAS, it may be necessary to perform a variable selection step before investigating interaction effects.

The method first adjusts a global regression model to identify sequences that are differentially transcribed with respect to time, after which a variable selection strategy is applied to study differences between groups and find significantly different profiles.

Because of the limited number of samples in each batch and to avoid overfitting, we applied a variable selection method to find population reference signals that contributed to gene expression variability.

In this paper, we introduce a variable selection approach to identifying the active effects in SSD via nonconvex penalized least squares.

In this sense, a variable selection tries to reject those variables whose contribution for representing a target is none or negligible (irrelevant features), as well as those that have repeated information (redundant features).

They propose the Least Absolute Shrinkage and Selection Operator (LASSO) [ 11] as a variable selection method to identify the neighborhood of each variable, thus the non-zero elements.

The most relevant predictors should be chosen using a variable selection scheme to avoid over-estimating their effects on disease activity state.

To address such a problem, a variable selection-based fault isolation method is proposed in this research, which transforms the fault isolation problem into a variable selection problem in partial least squares discriminant analysis and solves it by calculating a sparse partial least squares model.

This is a variable selection problem.