Sentence examples for improve a models from inspiring English sources
Because of the simplicity of our virtual species example, we were able to show that a two-step pseudo-absence selection approach does not improve a models' discriminatory power over random pseudo-absence selection, and that both can provide rather high model evaluation results.
First, as Cartwright (1989) points out, there is no reason to assume that one can always improve a model by adding de-idealizing corrections.
To improve a model developed in Comsol Multiphysics for assessing the hygrothermal performance of rammed earth constructions, flexible dynamic small-scale experiments are presented.
Temperature and static solution tools associated with the FE method can facilitate the incorporation of more experimental data into the FE models (i.e., local measurements of modulus from micro- or nano-indentation) and perhaps improve a model's performance.
New experimental results improve a model and a model can guide the next round of experiments.
Inclusion of covariates can improve a model's accuracy and precision in mortality estimates.
It may improve a model's utility by removing some values and reducing the number of attributes.
It was reported that inclusion of AOD and meteorological fields can significantly improve a model's predictability of surface PM2.5 concentrations [ 19, 21].
Recent attempts to construct and improve a model host for the heterologous expression of genes encoding secondary metabolites have done so by deleting nonessential genes [ 9, 10].
Whilst rs7522061 accounted for the association at rs11264798, both rs7522061 and rs7528684 appear to be marking the same association, as their effects could not be distinguished in the 2,088 cases genotyped at both loci: rs7528684 did not improve a model with rs7522061 (p = 0.15) and conversely, rs7522061 did not improve a model with rs7528684 (p = 0.10).
However, while such techniques improve a model's ability to predict single-gene mutant viability, they also reduce the scope of a GENRE as a structured knowledge base of established biochemical facts.
