Sentence examples for probability to characterize from inspiring English sources
It is an open problem in classical probability to characterize all distributions with this property and in particular, whether it characterizes the normal law.
The classification networks are equipped with the Softmax regression models and produce multiple similarity probabilities to characterize different appearances belonging to the same person.
It begins by developing the network that plausibly represents the disease of concern, choose probabilities to characterize uncertainty, conditioning them on current information and knowledge, and infer accordingly.
In actual structures, there can be a very large number of SSCs, so theoretical expressions are then derived to pursue the study for a number of different cases, also considering different probability distributions to characterize the large number of unknown parameters.
The model was fully probabilistic with each input parameter represented by a probability distribution to characterize uncertainty in the parameter values.
In this paper, we mainly focus on two performance metrics: secrecy outage probability and connection outage probability to respectively characterize the performance of the cellular link and D2D link in this hybrid network.
The eavesdropping probability was defined to characterize the erratic behavior of the eavesdropper, and the bargaining theory was introduced to analyze the negotiation among the sources on jammer power allocation.
In this subsection, in order to exploit a novel insight of design, the asymptotic analysis for the secrecy outage probability was provided to characterize the behavior under the high SNR of legitimate links.
In order to incorporate the effect of both multiple testing and a priori knowledge considerations, we computed the False Positive Report Probability (FPRP) [55] to characterize the noteworthiness for all the significant and nominally significant results from single SNP analyses for a range of prior probabilities.
The assumptions used when assigning probability density functions to characterize uncertainty in biological systems are unwarranted when only a small number of measurements can be obtained.
The parameters of the continuous Gamma family of probability distributions served to characterize with high confidence the shape and scale of the empirical frequency distributions of the maximum velocity.
