Sentence examples for prior tuning from inspiring English sources

AT40 or AT50 show only marginally reduced performance and require no prior tuning.

Depending on the application and availability, clinicians can decide whether they would like to opt for slightly higher accuracy with prior tuning or not.

The method, validated on 11 different subjects, does not require any prior tuning when applied to a new subject, which makes it subject-independent.

Thirdly, extensions have a high probability of conferring function without prior tuning by natural selection.

- Havighurst, S.S., Wilson, K.R., Harley, A.E., Prior, M.R. (2009): Tuning in to kids: An emotion-focused parenting program--initial findings from a community trial.

Adaptive thresholding at 40% (AT40) was the next best method and required no prior parameter tuning (SI = 0.78; %VE = 23.22% ± 70.83%).

Moreover, model ensembles of the 63 individual models further enhanced the results yielding performance that was 27% better than the best performing model prior to tuning, indicating that indeed better results are possible.

Based on the results presented in this study, CT is the best performing method for all lesion types but its utility is limited by the requirement for prior parameter tuning using phantom data which might not be available in all clinical sites.

Furthermore, for inference methods that utilize EA strategies (e.g.[ 58- 61]), typically a prior parameter tuning is done to evaluate overall performance based only on the set of parameters for which the EA shows the best results.

This can be solved by a Bayesian regression where we can incorporate existing knowledge by tuning the prior on β.

Tuning this prior by changing k hap has only a small effect on mean accuracy, which implies that our imputation method is largely robust to stratified reference data even without the surrogate family approximation.