Sentence examples for score weighting from inspiring English sources

Finally, though we weighted the sample to account for the time-location sampling procedures and the inverse propensity score weighting adjusted for bias associated with the 18 variables we identified, we cannot adjust for potential bias from unmeasured sources.

discriminative score weighting.

Furthermore, a new discriminative likelihood score weighting technique was proposed for speaker identification, and a likelihood score weighting method was presented for the speaker identification task [24].

Treatment groups at ATC-AQs and ATCs adjusted with propensity score weighting.

In this paper, a new discriminative likelihood score weighting technique is proposed for speaker identification.

13613_2017_235_MOESM1_ESM.docx Additional file 1. Figure 1E: Imbalances between prone and supine groups before and after propensity score weighting.

Normally, the process will go through several steps such as data cleaning, segmentation, clustering, and score weighting.

Primary endpoint was compared between the prone and supine groups using propensity score weighting to balance patient characteristics between the two groups.

This strongly indicates that we need to employ the proposed score weighting scheme, in which we can optimally select the number of classes given the speaker identification framework.

We then calculated an overall weighted Z-score, weighting each individual Z-score by the degrees of freedom in each test,[ 70].

To adjust for differences in baseline covariates among ARB users, we performed a propensity-score weighting technique [ 21- 23].