Sentence examples for statistical phrase from inspiring English sources

Using a statistical phrase known as relative risk to report the benefits, Dr. Nul said his team found a 28percentt decrease in hospital admissions for heart failure among the patients who had been followed for an average of 457 days.

Other statistical phrases: "The average salary of a black female college graduate is less than that of a white male highschool dropout".

Single words, as well as bigrams and trigrams are also extracted and considered as statistical phrases.

For categorizing along the Focus, Evidence and Certainty dimensions, text fragments are represented using simple terms consisting of single words, as well as bigrams and trigrams (statistical phrases).

The point I agree with -- and the one made more directly by Nate Silver -- was not to imply that the 5 point margin was outside the margin of error, but rather to object to the use of the phrase "statistical tie" to describe a difference that is not quite large enough to attain statistical significance.

When questioned for the story, 23andMe noted that its analyses are "statistical estimates" — a phrase that customers should bear in mind.

Might the solution lie in a more intimate relationship between the user and the software?Modern speech-recognition programs do not merely try to identify individual words as they are spoken; rather, they attempt to match whole chunks of speech with statistical models of phrases and sentences.

The most fruitful has been the phrase based statistical machine translation (PBSMT) introduced by Koehn et al. [23] that is based on the use of phrases rather than words.

Google, Microsoft and Facebook have been making the move to neural machine translation for some time now, rapidly leaving old-school phrase-based statistical machine translation behind.

The preprocessing module has been incorporated into two well-known statistical translation architectures: a phrase-based system and a Statistical Finite State Transducer (SFST).

This can be phrased in statistical terminology as developing a significance test for associations between genomic variables and a given set, subset, or linear combination of PCs estimated from genomic data.