Sentence examples for of its threshold from inspiring English sources
By contrast, both Sn and Sp of UFM increase with sequence size for all species, which indicates strong evidence of the independence of its threshold of both sequence size and species suggesting that it is a robust classifier (Table 1).
It then monitors the radiation levels in real time and sends prompts via vibration and a tone should they reach the high-end of its threshold.
TFER gives MCS decisions based solely and directly on the FER estimations as a function of its threshold parameter t h FER and therefore denoted by T F E R(t h FER ) [64, 65].
However, to the ant i, the labyrinth is viewed through the binary lens of its threshold; each site either contains a detectable amount of stimulus (S>θi) or it does not (S<θi).
The relative abundance of target mRNA in each sample was calculated as 2 raised to the negative of its threshold cycle value times 106 after being normalized to the abundance of its corresponding 18S rRNA (housekeeping gene), (2- primer Threshold Cycle)/2- primerhreshold Cycle)x 106).
A positive fascin score (independent of its threshold) at any site was significantly associated with both a shorter OS and DFS, even for patients with stage IV disease.
A mathematical challenge related to such network models is to analyse the behaviour in the narrow domains in phase space where at least one variable is close to one of its thresholds, called switching domains.
A mathematical analysis has shown that when the dose-response functions approach binary or on/off responses, any variable with an equilibrium value close to one of its thresholds is very robust to parameter perturbations of a homeostatic state.
The estate agency Foxtons describes the property as having six bedrooms and "striking views" over Hyde Park, but Carney would have to raid the Bank's gold reserves to stand any chance of crossing its threshold.
Stage 4: Using results of stage 3 for selection of materials having frequency of more than its threshold value (here 70%).
In this paper, we address the problem of how to determine a linear classifier (a pair of feature and its threshold value) at each round of boosting.
