Sentence examples for salient data in from inspiring English sources

We developed a flexible algorithm named Combo that combines three statistical metrics, the Kullback-Leibler Divergence (KLD), Riloff's RlogF metric (RlogF), and a new metric called PredScal, to automatically identify salient data in bibliographic text.

In the event that salient data (such as standard deviations) were missing, study authors were contacted.

If you suggest that both parties are comparably deserving of blame, you are ignoring the salient data.

From this enormous data pool (and in addition to the data from the other senses), we need to select relevant or salient information in order to determine adequate actions and control their execution.

The first step in a statistical analysis may then be to pick out the salient variability in the data, in order to scale down the computational burden of the analysis itself.

Ways to handle verbatim responses, interpret task success and efficiency metrics, understand click path behavior, identifying the most salient usability issues, and presenting usability data in a compelling way are reviewed.

Bulk data analysis eschews file extraction and analysis, common in forensic practice today, and instead processes data in "bulk," recognizing and extracting salient details ("features") of use in the typical digital forensics investigation.

In addition to the omnipresence of the prime-minister, this can be understood as an instance of "local-chaining" (see "Languaging features in social media" section) where reinforcement of key messages and a strong identification with the prime-minister is salient (even in data where his picture is not present).

There are four genome-wide physical maps available for the rice genome and salient findings concerning chromosomal sizes are compared to optical mapping data in Table 1.

The total absence of pine regeneration taller than 1.5 m throughout the three consecutive monitoring periods was very salient in the data.

It seems likely that the effect of absolute reward is more salient in our data because our behavioral paradigm required an explicit evaluation of payoff size on every trial due to the random interleaving of reward conditions.