Sentence examples for probability shown from inspiring English sources

By letting N 0=0, we will get the expression of the connection outage probability shown in the following corollary for the interference-limited network.

Therefore, the approximate expression of the system outage probability shown in this paper can provide perfect approximation to the realistic outage performance of DAS without time-intensive simulations.

Therefore, the expression of the system outage probability shown in this paper can provide perfect approximation to the realistic outage performance of multi-hop cellular system without time-intensive simulations.

Posterior probability outputs by a teacher DNN for two inputs belonging to the same tied CD state are shown with state IDs for the five states having the highest posterior probability shown next to their corresponding bars.

After ten thousand samplings, the average value of severity indicators for each occasion will be got as Sev(St angle and Sev(St) v. Taking the severity indicators and the corresponding Like(St) (the fault probability shown in Table 1) into Eqs.

It can be found in Figure 3 that the conditional probability distribution p(C|A) is more concentrated in the vicinity of the current encoding index 0 than the probability p(C), and the relationship of the two kinds of probability (shown by dotted line and solid line) satisfies the Equation 7. Figure 3 The probability and conditional probability of the encoding symbol MDCT indexes.

Their analysis of satellite data produced zones of probability showing where the jet could have crashed.

Despite the failure of the official project, however, he argued in detail for a connection between confirmation and probability, showing that, given certain apparently reasonable assumptions, the degree-of-confirmation function must satisfy the axioms of the probability calculus.

The zoning maps of pollution probability showed 99.65% of the area to have Cd values under the threshold.

In particular, the fitted probability shows no substantial improvement before 15 experiences but sharply increases between 15 and 25 experiences.

The model, as stated, characterizes the relationship between the various predictors and a binary variable, expressed as a probability, showing whether the prediction is experimentally supported or not.