Sentence examples for measuring the probability from inspiring English sources

Exact(19)

Assume we have n chemical entity extractors, then we are interested in measuring the probability of t being an actual entity given the predictions from the n extractors.

By dependability improvement, we mean higher reliability ((mathcal{R})) or availability ((mathcal{A})), both dependability attributes, with (mathcal{R}) measuring the probability of never failing to maintain a certain property during a certain mission time, and with (mathcal{A}) measuring the probability of correctness at a random instant within an intended mission time.

They start by measuring the probability (p_{k}(n)) that the next communication of an individual that has degree n will occur with the formation of a new ((n+1))th tie.

I studied a variety of topics, such as the relationship between pitcher workload and injuries and the influence of catchers on handling a pitching staff, and economic issues such as revenue sharing, analyzing umpire tendencies, and measuring the probability of winning a game from any situation.

(Note that accurate simulated or emulated results for the average number of iterations can be obtained using a feasible number of sample outcomes at a higher signal-to-noise ratio than is feasible for accurately measuring the probability of code-word error).

The most straightforward and quite common approach to quantify influence of friends in real data is based on measuring the probability that a user i collects an item α, given that (f_{ialpha}) of i's friends have already collected it [3, 32 36].

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Similar(41)

Finally, in the last period (1687-1689), the problem of measuring the probabilities is solved.

Perhaps most importantly, their ratings have only one bottom line: they measure the probability that company will default in repaying its debt in full and ontime.

The study in the Philippines also measured the probability of being under the poverty line and the quality of food that people ate, and again found no effects.

But the agencies argue that their ratings are designed to measure the probability of default, not to recommend the purchase of individual securities or to predict market prices.

A conditional probability does not measure the probability of the truth of any proposition.

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