Sentence examples for membership correctly from inspiring English sources

In fact it follows by an application of the Chernoff bound (Chernoff 1981) that in order to use such a procedure to decide membership correctly with probability \(1 - \varepsilon\), it suffices to apply the machine \(C\) \(1/ p-\frac{1}{2})^2 \ln(1/\sqrt{\varepsilon})\) times and then take the majority output.

This discriminant function predicted group membership correctly for 86.6% of cases; Wilks's λ = 0.58, χ = 42.5, df = 3, p<.001.

In fact, if you don't cancel your membership correctly, you may have to pay your contract out in total.

Group membership was correctly predicted for 78.6% of the patients with severe TBI and 81.3% of the patients with mild to moderate TBI.

However, this is not of interest from a diagnostic perspective since it mainly reflects the imbalance in the test set given that the adjusted classifier is more likely to correctly predict membership of the larger class.

Those arguing for a yes vote will fire back (correctly) that Turkish membership of the EU has, strictly speaking, nothing to do with the constitutional treaty.

CVLT-long delay free recall was the only independent variable that correctly predicted group membership (Wald test [1] =10.7, P =0.001).

The highest discriminating power was 90% in assigning the membership of old A30P flies correctly as old A30P flies (Table 2).

The CQR5 correctly predicted group membership measured by the full CQR19 for 88.5% of cases, with sensitivity to predict low adherence of 69% and specificity of predicting high adherence of 97%.

One remarkable thing is that our method works quite well for a very small fraction of training set such as 20% for both abundance estimation and function assignment, and this fact implies that highly interconnected relationship among proteins via complex membership greatly helps us to correctly assign functions.

For this risk factor set, both specificity (correctly identifying non-membership for those who are non-members — 82.6%) and sensitivity (correctly identifying membership for those who are members — 88.0%) were low.