Sentence examples for enumeration based on from inspiring English sources
We present a novel algorithm (GP) for maximal clique enumeration based on iterative binary graph partitioning.
The procedure of target-to-target hypotheses enumeration based on ξ i is as follows.
A parallel solution for maximal clique enumeration based on MPI has been proposed in [32].
We develop parallel solutions to maximal clique enumeration based on the GP and hybrid algorithms and implement them on MapReduce.
In this subsection, we describe the idea behind the typical parallel approach [23, 32, 38] for maximal clique enumeration based on MapReduce.
In addition the CDK is enhanced with specific functions and options for reaction enumeration based on a reaction template and corresponding reactant libraries.
The approach is not error free so to obtain some indication of its accuracy, we compared manual counts of cross-bridges with enumerations based on class membership [37].
The procedure allows for the potentially biased and likely under reported outcome, case enumerations based on only the geocoded records, to be presented with imputed statistically adjusted results.
The procedure allows for the potentially biased and likely under reported outcome, case enumerations based on only the geocoded records, to be presented with a statistically adjusted count (imputed count) with a measure of uncertainty that are based on all the case data, the geocodes and imputed nongeocodes.
It utilizes a vertical approach for enumeration and support counting, based on the novel notion of primal block encoding, which in turn is based on prime factorization theory.
The overlap between the CD25posCD127lowFoxp3pos def.1 Tregs and the Foxp3posHeliospos def.2 Tregs is approximately 73%%, and thus, Treg enumeration based solely on Foxp3 and Helios may lead to an underestimation in Tregs of ~27%% through exclusion of CD25posCD127lowFoxp3pos cells in the Foxp3posHeliosneg population (range 20.2 35.3%% of CD25posCD127lowFoxp3pos Tregs; supplementary figure 4c).
