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A major benefit of objective measurement methods is that they are unlikely to produce biased measures, unlike subjective measures which quantify the individual's perception of activity, and therefore frequently over-estimate activity levels[ 43].
Sequential rules [14, 18, 21, 22] are "if-then rules" with two measures which quantify the support and the confidence of the rule for a given sequence database.
In this paper, two performance measures which quantify the marginal contribution of the searching process as well as the performance evaluation process are proposed.
Inferring the proposed model with uninformative prior settings provides reliable probability measures, which quantify the suitability of competing noise models.
We would also like to highlight the difference between modularity measures, which quantify the modularity in a network whose modules have already been determined, and module-discovery algorithms, which partition a network into groups of nodes.
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This analysis should lead to the calculation of measure which quantifies the operability of a design.
The ST [37 40] similarity measure, which quantifies the shape similarity between molecules, is defined as the following equation: ST = V AB V AA + V BB − V AB (5).
Most clustering algorithms are designed to minimize a distortion measure which quantifies how far the elements of the clusters are from their respective centroids.
At the base of our approach there is a transfer risk measure which quantifies the similarity between the given and the new visual data.
A new similarity measure, called SimilB, for time series analysis, based on the cross- -energy operator (2004), is introduced. is a nonlinear measure which quantifies the interaction between two time series.
The SLNR precoding is designed based on the signal-to-leakage-and-noise ratio as the optimization metric, where leakage is a measure which quantifies the interference power caused by the desired user on the signal received by others [21].
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