Sentence examples for characterizing the data from inspiring English sources

Any of the normal, lognormal, extreme minimum value and extreme maximum value distributions might be an appropriate assumed distribution for characterizing the data.

This chapter also discusses metrics for characterizing the data migration problem, the typical legacy data sources for automated mapping/facilities management (AM/FM) features, and the typical target model AM/FM characteristics.

The Polygon descriptor can model a data distribution by characterizing the data dependency relationship among the data variables, and the Deforming distance is designed to be translation, scale, and rotation invariant.

With this approach, the re-identification probability threshold is determined based on factors characterizing the data recipient and the data [ 48].

Subsequently, the information is collected and distributed into several temporary files using a set of predefined keywords and their qualifiers (i.e. those characterizing the data schema).

Since similar temporal patterns can be identified for different Gene Sets, FunPat applies a second clustering step to identify the Main Patterns characterizing the data.

Because these nodes have a limited amount of battery power, we extract features to characterize the data.

A stochastic variable satisfying the Bernoulli random binary distribution is utilized to characterize the data dropouts.

AUC24/MIC and %T > MIC characterized the data well, whereas Cmax/MIC did not.

The broad fit and individual fits both characterize the data fairly well, and the possibility of common slopes may point to common driving mechanisms across the mass scale.

Stochastic variables are presented to characterize the data transmission, which are depending on operation modes and satisfying the Bernoulli distribution.