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Sample entropy is a popular measure for quantifying signal irregularity.
Results indicate that the CAINS is a promising new measure for quantifying negative symptoms in clinical neuroscience and treatment studies.
Our procedure involves the construction of a context-vector representing the target's meaning and the use of the Kullback-Leibler divergence measure for quantifying its semantic change.
The proposed method is inspired by the spectral feature selection, by using together a kernel and a new spectrum based feature evaluation measure for quantifying the feature relevance.
The Tanimoto coefficient (Tc) is the most widely used measure for quantifying fingerprint similarity.
The DRR is probably the most well-known objective and unambiguous measure for quantifying the amount of reverberation in rooms, which can be used as well for estimating the perceived signal quality.
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In the last few decades an impressive number of structural indices have been developed to quantify spatial forest structure and it has also been suggested that they can be used as surrogate measures for quantifying biodiversity [Pommerening, A., 2002. Approaches to quantifying forest structures. Forestry 75, 305 324].
This article compares measures for quantifying the level of inhomogeneity of a given spatial point pattern.
New measures for quantifying the accuracy of QMC methods combining with PGMs are introduced.
Setting up standards or measures for quantifying the risk.
TOC is one of the most widely used measures for quantifying the amount of NOM in water.
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