Sentence examples for methods with larger from inspiring English sources

Significant improvement over the MME is justified on the fact of using methods with larger embedding efficiency (i.e., the BCH-based schemes with large m).

This was due to (a) decreased S of methods with small number of clusters and (b) increased PPV with sphere size for methods with larger number of cluster.

In such cases, Runge-Kutta methods with larger regions of stability, such as the stochastic Runge-Kutta method [ 44], are more ideal, as well as implicit or multiscale methods [ 45- 47].

As shown in this scatter plot, the power (i.e., the TPR values) increases (as would be expected) for the conventional quantile (a blue open rectangular symbol) and the weighted quantile (a red solid triangular symbol) normalization methods with larger sample sizes.

We look for methods with large absolute stability region, assuming that the implicit part of the method is A-, A-, or L-stable.

Finally, normalizing each vector by the cosine similarity so that all image vectors turn into unit vectors seems to add to the performance of methods with large codebook sizes.

Many works have assessed the performance of these techniques using small or medium-sized benchmark networks proposed in the literature, but few of them have tested these methods with large-scale real networks.

Here, we use the Runge-Kutta formulation to construct methods with large stability regions so that efficiencies are gained by allowing larger stepsizes.

Complex methods with large numbers of parameters often fit the data used to develop the model well, but provide inaccurate predictions for independent data.

While resource limitations, particularly memory preclude us from examining the scaling of the likelihood method with larger datasets further in this paper, we are confident that the likelihood method will continue to scale well beyond the number of processors shown in this paper when larger datasets are used.

Therefore, a scientific design using a multi-center and random sampling method with larger sample size could be used to better explore this comorbidity.