Sentence examples for by variable selection using from inspiring English sources

The method directly deals with highly redundant and irrelevant data contained in the bi-dimensional t f representations, combining a first stage of irrelevant data removal by variable selection using a relevance measure, with a second stage of redundancy reduction by linear transformation methods.

The simplified models were obtained by stepwise variable selection using Bayesian Information Criterion.

Second step: All process and structure parameters were considered in the resulting model from step 1 by stepwise forward variable selection using the same significance levels for including and excluding.

standard error of β Factors associated with increased risk of hypertension were evaluated by multiple logistic regression analyses with variable selection using backward elimination (Table  3).

Therefore, we performed final variable selection using this combination.

Although variable selection using wrapper strategies may incur extra computational costs, this is compensated by the ability to explore complex associations between variables detected within the intrinsic patterns incorporated in the discrimination rules.

Our proposed solution is to use proportional testing and either avoid variable selection altogether by using the PCs that capture the majority of genetic variation in the region, or integrate over the variable selection using BMA.

The most common method (category C) is screening of variables based on the statistical significance of bivariate associations, followed by variable selection in a multivariable model using either stepwise algorithms or significance testing of the individual regression coefficients.

Within regression models, a central issue is whether to use the full model incorporating all available variables or a reduced model determined by variable selection methods.

The explanatory variables were selected by backwards selection using p < 0.05 as criteria.

Independent variables were selected by forward selection using maximum likelihood estimates and a significance level of 0.05.