Sentence examples for relevance threshold from inspiring English sources

Exact(25)

Both tables show the sizes of the original datasets, the number of neighbors of the k ̌ –NN classifier, the relevance threshold ρmin, the number of relevant variables selected nrel, the dimension of the feature space obtained n, the number of row and column components of the 2D linear decomposition methods, n r and n C, and the figures of merit of the classification.

The provider panel of five physicians and five nurses confirmed all items that remained were moderately-to-highly relevant to this patient population, but also contributed several items that patients had not ranked as meeting the relevance threshold (Table 4). 1 Relevancy scores based on a scale of 0 4, where 0 indicated "not at all " relevant and 4 indicated "very much" (or highly) relevant.

Peaks with a relevance below a relevance threshold are considered noise.4 If the peak is relevant, it is not touched.

Specifically, something Apple calls the "minimum relevance threshold".

The relevance threshold is a user parameter that can be adapted to the setup.

Input: t f matrix dataset {X(1),X(2),…,X(K }, relevance threshold η.

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Similar(35)

Moreover we conclude that current completeness standards in carbon reporting cannot be satisfied using relevance thresholds.

An empirical application is conducted to explore the effects of 401(k) retirement programs on savings, illustrating the relevance of threshold models in treatment effects evaluation in the presence of endogeneity.

The relevance of "threshold deontology" is explored, and it is suggested that much of the point of invoking dirty hands comes from an ambiguous attitude to absolute moral prohibitions, combining a rejection of them with a certain wistful attachment to their flavour.

In the light of the current context, the generalization of such measurements remains difficult, especially as concerns the need to choose one or several biomarkers, the clinical relevance, significance thresholds and the timing for measurement(s), all of which are parameters that require more knowledge according to the type of patients.

We accomplished this by: 1) increasing thresholds in genomic regions exempt of genes of known clinical relevance; 2) decreasing thresholds in regions with genes of known clinical relevance; and 3) filtering out known benign CNVs.

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