Sentence examples for implements backward from inspiring English sources

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SVM-REF implements backward feature elimination and searches an optimal subset of features.

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SDRAN controller implements backward-compatible interfaces to support the interworking with legacy network entities.

In this study, we implement backward removal on Algorithm 1 step 4 to extend the procedure with the capability to backward remove redundant weak classifiers.

However, pressure from competition in the chemical industry led UCIL to implement "backward integration" – the manufacture of raw materials and intermediate products for formulation of the final product within one facility.

To implement the backward compatibility of newer modules, the (pre defined software interfaces of the newer modules, or even of its neighboring modules, usually have to be adapted manually, which increases the engineering effort and propensity for errors.

While simple to implement and backward compatible with the existing infrastructures, this technique does not take into account the redundancy due to the similarities among the views that can be used to further compress the data.

Meanwhile, Hamas is implementing Talibani backward policies such as Hijab in schools, and demanding women judges to cover in courts.

We then implemented a backward elimination procedure, removing explanatory variables one by one and observing if the estimate changed.

The Cox model (Cox regression 1970) was used for multivariable analysis initially including all significant parameters and implementing a backward selection procedure with a cutoff value of P<0.1.

Then we fit multiple linear regression models with all covariates showing a bivariate association with the PDI or MDI where p < 0.3 and implemented a backward elimination approach with a criterion of a change in estimate of ≥ 10% (Mickey and Greenland 1989) for inclusion of potential confounders.

We then implemented a backward selection procedure (Conesa et al. 2006) that removed parameters from the full quadratic model with P values > 0.001, a stringent threshold that better enabled us to exclude genes with modestly different temporal trajectories between met1 genotypes, but little to no difference in elevation (i.e., expression levels).

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