Sentence examples for coarse comparisons from inspiring English sources

Firstly, these two datasets provided coarse comparisons across regions, and were limited by the small number of common variables that assessed known determinants of suicidal ideation at a more fine-grained level (e.g., personality factors, social support, or valid measures of personal socio-economic factors).

The measurements presented in the following should provide a coarse comparison of the performance of the two systems.

A small tolerance value (r) corresponds to a fine pattern matching and a large r value corresponds to a coarser comparison.

The FE meshes are claimed to be coarse in comparison to those necessary to evaluate the NSIFs from the local stress distributions.

Datasets with resolution lower than 5 Km (e.g. [22, 18]) were not included in the present analysis because they were considered too coarse in comparison with the limited extent of the country.

Datasets with resolution lower than 5 Km (e.g. [ 22, 18]) were not included in the present analysis because they were considered too coarse in comparison with the limited extent of the country.

Exceptions are QTL studies where transferable markers such as a few microsatellites [ 30, 38] or candidate genes [ 14, 38] were also mapped so that it is at least possible to make a coarse preliminary comparison of QTL locations at the linkage group level.

The Han and Manchu garments make modern embroidery, even Guo's, look coarser by comparison, like a second-generation image.

The rapidly increasing proportion of unique phyletic patterns calls for a more coarse-grained comparison whereby non-identical but similar patterns are treated as members of the same group.

Reviewer response: In lumping patterns together, I was referring to the sentence in the text where you say "The rapidly increasing proportion of unique phyletic patterns calls for a more coarse-grained comparison whereby non-identical but similar patterns are treated as members of the same group".

To determine the most promising modeling approaches together with the best optimization algorithms, we carry out a two-step benchmark: (1) coarse-grained comparison of the algorithms on all models and (2) fine-grained tuning of the best optimization algorithms and models.