Sentence examples for robust benchmarks from inspiring English sources

Even taking into account our current inability to resolve Open Questions 1 3, the hierarchy of complexity classes depicted in Figure 2 ranging from \ \textbf{P}\) to \ \textbf{EXP}\) represent the most robust benchmarks of computational difficulty now available.

3.4.3 Parallel, probabilistic, and quantum complexity Even taking into account our current inability to resolve Open Questions 1 3, the hierarchy of complexity classes depicted in Figure 2 ranging from \ \textbf{P}\) to \ \textbf{EXP}\) represent the most robust benchmarks of computational difficulty now available.

There is a need to establish robust benchmarks for data analysis for the comparison of different analytical approaches/software.

The HSM approach was targeted as a robust benchmark for detecting crash risk on the Australian network.

A set of fifteen robust benchmark problems is employed to investigate the efficiencies of the proposed algorithms.

A standard test suit of eight robust benchmark problems is proposed along with controlling parameters that allow researchers to adjust and achieve the desired level of difficulty.

The purpose of this database is to form some common ground and ground truth data denoting conspicuous events—not only for robust benchmarking of the produced summaries but even for computational modeling intended for machine-based understanding.

In the end, more robust benchmarking methods like DUE-B have the potential to enhance the efficacy of municipal energy efficiency programs and help transition cities to a more sustainable energy future.

For example, the list-length effect – once considered a robust benchmark phenomenon – is now known to be either weak or absent when confounding effects associated with these factors are controlled.

The latter data can provide valuable and robust benchmark rates of occurrence from previous eruptions and episodes of unrest at this or other volcanoes, and could be invaluable diagnostic information which, otherwise, cannot be easily included in the eruption scenario probability calculations.

Thus, we need robust benchmarking methods that can evaluate each data set and allow comparison of their relative merits.