The phrase "robust benchmark" is grammatically correct and can be used in written English.
It is typically used to describe a reliable or strong standard or measure that serves as a point of comparison for other things. Example: "The company's new product proved to be a robust benchmark for their competitors, as it outperformed all other similar products in terms of quality and price."
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.
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.
Reference trees constitute a robust benchmark for measuring precision and sensitivity of phylogenetic information provided by databases.
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.
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.
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.
Thus, we need robust benchmarking methods that can evaluate each data set and allow comparison of their relative merits.
