Sentence examples for identified settings from inspiring English sources

With the best identified settings, enrichment factors across all targets could be improved considerably.

The excellent performance in the artificial scenario reflects the strong sensitivity of the method: relatively 'hard' scenarios are still positively identified, settings in which other methods clearly voted against an DS event.

We identify settings in which a large set of n such queries can be answered by executing k less than n different queries.

As for parameters, we identify settings that yield good performance across a range of experimental conditions.

We identify settings in which the class of optimal mechanisms has a deferred acceptance auction representation which allows an implementation with a descending-clock auction.

Robust process optimization seeks to reduce the effects of such variation by identifying settings of the adjustable factors that makes the process less sensitive to the variations.

We identify settings in which optimally designed opaque schemes not only strictly dominate the best deterministic menu but also completely eliminate the efficiency losses from the agent's better knowledge of the environment.

To explore the association between drinking patterns, irrespective of whether alcohol was consumed in the event of the injury or not, and different injury variables; and to identify settings and situations in which risky drinkers have an increased likelihood of injury.

To identify settings that identify periods of wakefulness during sleep, we used data from a subsample of women who reported discrete wake bouts while nursing at night.

A deterministic method has been applied in this study to assess the performance of wellbores when subjected to changing conditions in order to identify settings where the structural status of the wellbore can be declared as either stable or unstable.

Despite having a generally lower performance with regards to validity and efficiency, the models based on fingerprints seem to be able to identify settings for the confidence levels that enable somewhat higher gains from screening the training set and the predicted test subset gain, compared to the corresponding models based on physicochemical descriptors for the investigated datasets (Table 6).