Sentence examples for threshold choice from inspiring English sources

Nevertheless, the simulations examine how the threshold choice impacts undetected errors.

The threshold choice, through customary or statistical criteria, is the key for the change interpretation [5, 6].

Hu and Wang [20] claim that the performance of the method using such a threshold choice is satisfactory.

The selection of these thresholds is often arbitrary, and the effects of threshold choice on assessments of connectivity are largely unknown.

A fundamental difficulty is selection or estimation of an appropriate threshold or interval of thresholds, of particular concern since inferences for return values vary with threshold choice.

With such a normalization, a better threshold choice could also be made, which would then increase the number of genuine samples used for adaptation.

Figure 6 Undetected error probabilities versus threshold choices.

Same plot as Figure 1, with same threshold choices.

However, the figures are presented to provide information about the overall behavior of the performance measures regarding all possible threshold choices, and the x-axes share the property that they cover the whole AD range.

The method developed here offers the following advantages over the method outlined in [3]: (i) The method is robust for various sources and not only for flat spectrum sources, (ii) threshold choices are not required, (iii) hand-tuning is not necessary, (iv) the method is quite fast (e.g., the developed method can factorize an input signal lasting 30 s in approximately 18 s).

These cutoff thresholds were decided after many visual evaluations of the brain vs. non-brain GEPs; for candidate genes derived from various threshold choices, the GEP from the brain-tissue arrays was overlaid with the GEP from the non-brain arrays to visually evaluate how distinct the two GEPs are.