Sentence examples for sampling settings from inspiring English sources

Obviously I lowered the resolution and sampling settings while working in order to facilitate speedier renderings.

Roy Furchgott Correction: January 8 , 2004 Thursday An article in Circuits last Thursday about copying LP's onto CD's misstated the sampling settings at which the software captures the best sound from analog recordings.

To explain such variety, we found no significant differences in sampling settings as to be either inpatient or outpatient.

It is difficult to compare the dust mite and cat allergen levels between studies due to different study populations and dust sampling settings and methods (e.g., vacuum cleaner used, filter size, time and area sampling).

For this, the Sample Module arranges annotation into three Information Units: biological condition, biological replicate and analytical sample allowing one to many relationships, which creates the flexibility to define complex sampling settings without duplication of information.

No overall conclusion of the current resistance situation in the ambulatory sector in Austria can be gathered out of these different studies due to the differences in sampling settings, inclusion and exclusion criteria of the study population, time periods, bacteria analysed and the methodology used.

We revisit Young Citizens to provide further insight into the performance of various methods in small-sample settings.

This does not take into account feature-selection, which is commonplace in high-dimensional and small sample settings.

This paper concerns the classical problem of determining the performance of error estimators in small-sample settings under a Gaussianity parametric assumption.

The concomitance of an absence of distributional assumptions and of a measure of error estimation accuracy is assured in small-sample settings because even when distribution-free bounds exist (and that is rare), the sample sizes required under the bounds are so large as to make them useless for small samples.

Although the second method has proved to give the best results, in small-sample settings such as the one found in omics data, the estimation of posterior probabilities and derivative of ROC curve are both lacking of precision leading to far from optimal abstaining areas.