Sentence examples for effect of sparsity from inspiring English sources

Moreover, the positive effect of sparsity order on the energy efficiency can be clearly seen, i.e., the sparser the spectrum, the more energy efficient the proposed scheme.

Although the researchers might be inclined to claim that sampler A is better than B in sparse networks, we argue that the researchers cannot really support this statement because the effect of sparsity on the sampler's performance is confounded with the effects of the other simulation parameters, namely, the sample size, the number of nodes, and the amounts of signal and noise.

If only a sparsity constraint is used (e.g., Evans and Meade 2012; Honma et al. 2014), the evaluation function can be written as: Eleft(boldsymbol{s};lambda right)={displaystyle sum_{i=1}^N}{left({d}_k-{displaystyle sum_{l=1}^N}{G}_{kl}{s}_lright)}^2+lambda {displaystyle sum_{l=1}^N}left|{s}_lright|, (3)where λ is a sparsity hyperparameter that controls the effect of the sparsity constraint.

Similarly, exploring the effect of the sparsity level S, we do not gain much more insights over the experiments already conducted in the uncorrupted case [29].

Compared with (10) for the sparsity-agnostic KF, the last summand in (26) captures the effect of the sparsity-promoting penalty term on the error covariance.

To mitigate the effects of data sparsity, "dirty" data was removed from the majority class.

To our knowledge, it is the first study to apply CS to high field bSSFP fMRI and to systematically evaluate effects of CS sparsity schemes on non-EPI fMRI.

With this result and the assumption of effect sparsity, we construct a step-up simultaneous testing procedure that strongly controls experimentwise error rate for a sequence of null hypotheses regarding the number of negligible effects (zero βj's) in orthogonal saturated designs.

We have also studied the effect of the near-sparsity parameter, ε k, on the performance of our QNC scheme.

Supersaturated designs are an increasingly popular tool for screening factors in the presence of effect sparsity.

Under the assumption of effect sparsity it is often anticipated that only a few experimental factors play an important role in the experiment.