Sentence examples for model score of from inspiring English sources

In this case, when the search process recognizes a new word while expanding different hypotheses, the new hypothesis score is computed via multiplication of following three terms: the n-gram score of new word, the acoustic model score of new word and current hypothesis score.

The hazard ratio for developing breast cancer at 30 years of age was notably related to a model score of 2 or more (10.62; Table 3).

'Increased risk' was defined as age greater than 60, BRCA mutation or strong family history, history of preinvasive breast lesion or a lifetime Gail model score of 1.6% or greater.

If the model score of women would be below 2 points, their risk for developing breast cancer at an early age would be low, and screening at an early age might not be indicated.

When the landscape measures (percent forested, percent impervious surface) are converted to the fuzzy logic scale of the DSS model, the parks had an overall landscape model score of 0.92 (on the fuzzy logic −1 to 1 scale) which indicates excellent landscape condition (Table  2).

However, due to the low prevalence of early breast cancer in the population, the positive predictive value of the presence of at least 2 of the 4 characteristics (a model score of 2 or more) was 13% for breast cancer before the age of 70, 11% for breast cancer before the age of 50, and 1% for breast cancer before the age of 30.

Using a HumVar model, scores of 0.758 and 0.985 predicted that both variants were possibly damaging.

For each set of genomic coordinates, we retrieved the model scores of Kaplan et al. [ 13] http://genie.weizmann.ac.il/software/data/Yeast_sacCer1_Model_Score.gxt.gz.gxt.gz

Table 5 shows the performance of the classification model when empirically regarding model scores of >-1.5 as bad, in an independent sample of 25,000 additional clusters (Table 6).

To replace the extant repertory, Jiang Qing, otherwise known as Madame Mao, commissioned a group of eight "model" scores on revolutionary topics.

The unlabeled data model score consists of two terms: A cluster separation term and a consistent proportion term.