Sentence examples for deviation of word from inspiring English sources

Exact(1)

Words are binned on both frequency and GC content, such that the standard deviation of word frequencies in a given bin does not exceed a tenth of the mean and large frequency bins (>2000 words) are subdivided by GC content.

Similar(59)

Number of parallel rubrics, average number and standard deviation of words per rubrics, number of unique words, and number of average unique words per rubric of the different terminology partitions.

Adjustments: (a) Penalty factor: based on the mean value and standard deviation of number of words per answer.

We observe β < 1/2, which indicates that the fluctuation scale decreases more slowly with increasing corpora size than would be expected from the Yule-Simon urn model prediction, deducible via the "delta method" for determining the approximate scaling of a distribution and its standard deviation σ43. Figure 7: Growth fluctuation of word use scale with the size of the corpora.

where f(w) is the recognition score of the word w, μ(w) is the mean recognition score of all instances of the word w in the corpus, and σ(w) is the standard deviation of all instances of the word w in the corpus.

In other words, the deviation of the effective climate sensitivity from the equilibrium climate sensitivity illustrated in Fig. 3 is not negligible, as pointed out in many studies (e.g., Armour et al. 2013; Rose et al. 2014; Winton et al. 2010).

If a word's frequency was above 5 standard deviation of the expected number of repeats for a word, we concluded that such a repeat could not have been caused by resampling of the same mRNA.

Figure 6 shows σr(t|fc), the standard deviation of ri(t) calculated across all words that satisfy the condition 〈fi〉 ≥ fc for words with lifetime Ti ≥ 10 years, using fc = 1/Min[Nu(t)].

In other word the standard deviation of the accelerator position (or throttle) is lower.

As for intensity judgment, we calculated the mean and standard deviation of intensity ratings of each test word in each dataset pooled from all the valid ratings (if a participant classified a test word as unfamiliar, his or her rating of emotion intensity, if any, was excluded; if a participant classified a test word as neutral, his or her rating of emotion intensity was recognized as 1).

Table 2 presents the average reaction times (ms), error rates, and standard deviation for each group of words.

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