where P W) is the probability of sequence of n words in a language model.
Cummings et al. [19] suggested the use of a binomial probability mass function to calculate the probability of a sequence of given length possessing a specific number of errors under conditions with a known base misincorporation rate.
The probability of each sequence of events could be added, from which the probability of infection per visit could be estimated by maximum likelihood (Technical Appendix).
By making use of the product of the probabilities (Equation (iii)) in the log-likelihood function (Equation (iv)), as opposed to the individual choice set probabilities (Equation (ii)), the model estimates the probability of observing sequence of choices made over the 16 choice tasks.
A statistical language model assigns a probability to a sequence of n words P w1,…, w n ) by means of a probability distribution.
Now the probability of a sequence of successive successful updates of length is positive.
The probability of a sequence of or more residual nodes is given by (A7).
where allows for a control of the average segment size and where denotes the probability of the sequence of basic units corresponding to.
Moreover, if we knew that a process is chancy, we should expect (eventually, with high and increasing probability) a random sequence of outcomes.
Therefore, the mobile multimedia receiver can select the crowd service rejection probability and a sequence of video frames according to the competition state of the video frames.
