Sentence examples for elimination selection from inspiring English sources

Exact(8)

Among the 30 different physicochemical, topological and structural descriptors that were considered as inputs to the model, only eight variables (four variables for the polymer and four descriptors for the solvent) were selected using the elimination selection stepwise regression method (ES-SWR).

Pre-selected factors were included in a multiple logistic regression using backward elimination (selection level 5%) in order to identify important risk factors.

Then the ϵ value obtained by BS is used for serving the boundary elimination selection (BES) to guarantee the stability of the elite population.

Thus, this paper proposes a novel selection strategy – boundary elimination selection based on binary search (called BESBS), trying to avoid the impact of DRSs during the optimization and achieve a good balance between the convergence and diversity simultaneously.

Response predictors were determined by logistic regression with backward elimination (selection level was 5%).

Using a backwards elimination selection process (see statistical methods), 4 independently informative predictors were identified: creatinine level, phosphate level, urinary albumin-creatinine ratio, and female sex (Table 4).

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Similar(52)

To determine which factors were independently associated with the outcome, a multiple linear regression with a backward-elimination selection procedure was used.

We do not use the accuracy rate to estimate the number of selected genes as in backward elimination features selection.

To verify the capability for creating multigene transgenic plant of conditional elimination of selection markers, the construct pDES100-GUS-BAR-HPT-free was also introduced into A. thaliana lines by Agrobacterium-mediated transformation.

A multivariate logistic regression analysis with backward elimination variable selection was performed for predicting demands for counselling as the outcome.

BAHSIC defines a class of backward (BA) elimination feature selection algorithms that uses kernels and the Hilbert-Schmidt Independence Criterion (HSIC) [ 2].

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