Sentence examples for variability of classes from inspiring English sources

The maximum likelihood classifier (threshold level of 0.95, i.e. 95%) was also adopted, a widely used classification procedure of digital remotely sensed data (Foody et al. 1995), and it takes the variability of classes into account by using the covariance matrices of classes (Schriever and Congalton 1995).

After the observation of the sequences and the variability of class instantiations, we decided to keep the K = 10 most representative poses for each class.

Therefore, in this study we interrogated genome sequences of over 600 meningococcal isolates to further examine the distribution and sequence conservation of class II pilE genes, and to identify differences in the class I and class II pilE loci which might explain the lack of variability of the class II pilin gene.

The phylogenetic proximity of amphibian and avian ADH2 enzymes, in spite of the overall variability of this class, predicts similar structure and kinetic behaviour.

The purpose of this work was to use whole genome sequences to further investigate the frequency and variability of the class II pilE genes in meningococcal isolate collections.

A possible explanation for the low variability of the class II pilE genes is the absence of the G4 sequence that is required for pilin conversion.

While genetic variability of MH class IIα is comparatively low in human populations [ 6], this hypothesis has not been well investigated in other vertebrate taxa.

Nevertheless, hierarchical systems can be very specific for an intended task and are difficult to adapt to other databases with new classes.Therefore, we propose here a non-hierarchical segmentation-by-classification system with ten class-specific vectors (one class vector and one non-class vector for each class) and five matrices modeling the within-class variability of each pair class/non-class.

Similarities of light curves of several variability classes of GRS 1915+105 and IGR 17091-3624, sofe of which are already reported in the literature, motivated us to compute CE for IGR 17091-3624 as well.

The variability of the same class segments is known as within-class variability.

The results of this analysis produce a significative estimation of the parameters variability of the considered class of linear models.