Sentence examples for benchmarked the effect of from inspiring English sources

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In an earlier study we benchmarked the effect of varying cost and γ when doing classification using the SVM and the RBF kernel with the result that a sweet spot is located around cost = 10 and γ = 0.01 [21].

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The proposed meta-heuristic is applied on a benchmark dataset and the effect of system parameters, such as rearrangement cost, department disintegration, and duplication are investigated and benchmarked in this paper.

In order to relate the wetting properties at the pore scale to the macroscale hydrodynamics, a series of benchmark experiments on the effect of the wetting on flow in porous media were performed.

The decrease in the probability of adoption in Ethiopia provides a useful benchmark for demonstrating the effect of credit constraint on the probability of adoption: the likelihood of adoption fell from 26 to 18% when all the households did not have credit.

The benchmark to evaluate the effect of mass vaccination campaigns is the no intervention scenario that is predicted to reach the activity peak for example, in the United States between the beginning of October and the beginning of November.

In this work we use the genes from the Arabidopsis thaliana gene duplication events of 20-60 MYA [ 21, 22], i.e. the α-duplication event, as a benchmark to investigate the effect of biological function on molecular evolution rate of the duplicated genes.

The OPTIMISE (OPtimal Type 2 dIabetes Management Including benchmarking and Standard trEatment) study was initiated (15) to assess prospectively in a randomized, controlled trial the effect of benchmarking on the quality of primary care for patients with type 2 diabetes and its impact on achieving preset targets.

To assess prospectively the effect of benchmarking on quality of primary care for patients with type 2 diabetes by using three major modifiable cardiovascular risk factors as critical quality indicators.

(1//sum {C_{j} }) is chosen as one of our benchmark problems to demonstrate the effect of neglecting our financial assumption in traditional scheduling techniques.

We then used the resulting similarity-reduced benchmark datasets to explore the effect of similarity reduction on the performance of different MHC-II binding peptide prediction methods and, more importantly, to rigorously compare the performance of the different prediction methods.

The non-redundant dataset created as part of this work could be used as a docking benchmark dataset particularly when the effect of side-chain flexibility needs to be taken in consideration in the analysis of the performance of docking algorithms.

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