Sentence examples for large-scale settings from inspiring English sources

Evaluation of use at large-scale settings and data validity could further refine recommendations by setting.

Same setting as in Figure 4. Figure 7 illustrates the average sum-rate performance of ELCI and LS-SCVX for various large-scale settings.

Computational results show that this approach is efficient, especially for large-scale settings where the powerful CPLEX fails to be applicable.

Figure 7 Close sum-rate performance illustration between LS-SCVX and ELCI for various large-scale settings, in both CB and ad-hoc networks.

We first propose a mathematical adaptation of the initial SCVX framework to cope with large-scale settings, called LS-SCVX, while preserving the SCVX convergence property [11] intact.

Thus, unable to perform MARL for the large-scale settings, we only confront ELCI with LS-SCVX for the remaining large system simulations.

This said, the performance investigations have however been generally neglected in the large-scale settings as it is usually encountered in practical scenarios.

Extreme learning machine (ELM) as an emerging technology has achieved exceptional performance in large-scale settings, and is well suited to binary and multi-class classification, as well as regression tasks.

Moreover it can be employed in large-scale settings as it can work with sparse graph/matrix implementations.

The publish-subscribe paradigm[10] is a loosely coupled form of interaction suitable for large scale settings.

Finally, we evaluate the performance of our system via extensive simulations in larger scale settings.