Sentence examples for emphasize the probability of from inspiring English sources

Counts, which normally reflect how many times a word appears in a segment, are extended so as to emphasize the probability of a word based on its number of occurrences as well as on the occurrences of related words.

On the other hand, risk presenters in the "Absolute numerical risks not presented" group could be said to show a more paternalistic attitude: making patients' cancer risk perception as low as possible by presenting the absolute risk figures and emphasizing the probability of not developing the disease.

Table 4 shows our optimal model, where area under the ROC curve shows a measure of overall model performance of 50%% and an average Log-Likelihood of 65%% to emphasize the probability interpretation of the model predictions for the target variable STRESS (S).

Both studies emphasized the probabilities of the involvement of posttranscriptional or posttranslational modifications and also unknown regulatory mechanisms and signalling.

Calling the problem as 'power failure', Button et al. (2013) emphasized that the probability of a research finding to reflect a true effect drops drastically if the statistical power is reduced from 0.80 (considered as appropriate) to low levels, for example <0.30.

The high school earth science curriculum I've taught for many years emphasizes the tiny probability of earth's colliding with a killer asteroid.

Consequently, the probabilities emphasize the relationship of two proteins in a complex independent of its stoichiometry.

While cognitive behavioral theories and treatment protocols emphasize the importance of targeting probability and cost biases in the reduction of social anxiety, few studies have examined specific techniques for reducing probability and cost bias, and thus the relative efficacy of exposure to the probability versus cost of negative social events is unknown.

Consistent with this notion, emphasizing response speed increased the probability of responding (falsely) to random motion fluctuations (p<.05), but did not bias motion discrimination (p = 0.9).

Specifically, as illustrated in Figure 2B (re-plotted from the data in Figure 1C to emphasize the distribution of firing probabilities during theta), the peak firing of AACs took place slightly before the peak of the epsilon oscillations (asterisk in Figure 2A).

In order to emphasize the importance of assessing SUCRA, probabilities of being the best treatment are compared to the SUCRA scores.