Sentence examples for level of partitioning from inspiring English sources

In both cases of Ivory Coast and Portugal, we identified the first level administrative boundaries as the highest country-defined level of partitioning.

The design of novel algorithms for the generation of artificial instances To achieve this goal, the different level of partitioning must be taken into account for the sake of maintaining the robustness of the modeling when seeking for a higher level of scalability and predictive performance.

Binding to GT1b at pH 7.4 did not cause a significant increase in the level of partitioning of BoNT/E into the detergent phase.

The sub-group of conditions can be further divided by another TF in the same fashion until the gene expression values grouped together are similar enough or the maximum level of partitions had been reached.

The parallel algorithm uses two levels of partitioning independently, one in the particle-based physical space and the other in the collision time space.

Nevertheless, the individual species have different ecological requirements and also differ in their ability to hybridise, resulting in heterogeneous levels of partitioning of cpDNA diversity and incomplete cpDNA introgression.

Different levels of partitioning into clusters demonstrated several distinct temporal patterns of change.

(In this paper growing was stopped either when the node-smoothed count was less than 4 or a maximum tree depth of 10 levels of partitioning was reached. These thresholds were chosen because it was felt that an outbreak signalled beyond either these criteria would be of little use to practitioners from an operational perspective).

We employ the ShReD metric to partition a large-scale reconstruction of human liver metabolism (HepatoNet1) [ 10] into modules enriched in metabolic cycles, and conduct an EFM analysis on each module at varying levels of partition hierarchy.

The E46K αS variant displays an overall higher level of lipid partitioning of SL1, SL2, and all intermediate modes, relative to that of the wild type.

To avoid data reusage, DMFS requires an additional level of data partitioning, utilizing a discovery set for initial discriminatory motif finding and a classification set for subsequent random forest (or SVM) analysis.