Sentence examples for likelihood threshold from inspiring English sources

This would have modified the estimated likelihood threshold value by.

We are able to demonstrate, that a likelihood threshold can substantially improve the detector intrinsic spatial resolution of blurring caused by multiple-hit events.

For each of the folds, 90% of the test data is used to estimate the likelihood threshold leading to equal error rate (EER, obtained when TPR = TNR) on this data.

We want to study the characteristics of multiple-hit events, to implement a rejection filter using a likelihood threshold, which will consequently be beneficial for the intrinsic spatial resolution.

For this, one can use a hard threshold, i.e., if P(M s )≥T th, where T th is the terrain likelihood threshold, we say s= i,j) represents a terrain pixel.

In previous works, a threshold of 75% has been accepted as the borderline, under which the sound can be considered not distinguishable [56 58]; however, in this work, the 75% threshold will be called a likelihood threshold, under which the sound can be considered very close to the real one.

Figure 13 displays classification examples of man-made image patches, where likelihood thresholds were estimated at EER value.

Conclusions of climate association were based on a large and diverse number of populations and supported by a framework of multiple test criteria and strict likelihood thresholds (Balkenhol et al. 2009; Schoville et al. 2012).

Of real interest is in fact the regions where each model was considered a poor fit (black) and thus do not represent the data very well at all. Figure 4 Examples of good-fit histograms showing that several models may have very similar fitting to the data, and from which we derived our relative log-likelihood threshold.

Definitions of transcription factor target sets (protein-DNA interactions) were derived from two different data sources [ 20, 21] at p-value threshold 0.01 for the Harbison et al. study and sum of log-likelihood threshold 4 for the Beyer et al. study.

The ROC curves are obtained by varying the likelihood ratio threshold, resulting in a different patch classification.