Sentence examples for by computing the probability from inspiring English sources
The likelihood of each iteration was then evaluated by computing the probability of the model predictions given the empirical data (the computation assumes Hardy Weinberg equilibrium within the K groups).
The failure locus was determined by computing the probability of nucleating clusters containing one, two, three or more broken fibers.
The algorithm is similar to the Green's function reaction dynamics (GFRD) algorithm by van Zon and ten Wolde where longer time steps can be taken by computing the probability density functions (PDFs) and then sample from the distribution functions.
Contamination is therefore simulated by computing the probability of infection given the number of sexual contacts during the at-risk period, that is the duration of the relationship.
An event is selected by computing the probability
Consequently, the evaluation of performances can be done by computing the probability that a test data point belongs to a class or another, as opposed to assigning it to the closest cluster.
The accuracy of the procedures is verified by introducing known errors into the available datasets, supposed as correct, and by computing the probabilities of correctly classifying data as validated or not validated.
We analyzed the extent of degree-weighted behaviour in this ER model by computing the probabilities P k1, k2) of interaction between two proteins of degrees k1 and k2 over 104 realizations of the network.
In addition, the quadruplet test is often able to determine the direction of a conversion event by computing the probabilities of going down within the common maximum descent regions of the two triplets and determining the significance of the difference between the two probabilities based on a binomial distribution [ 12].
In the case of a multinomial model, this predictive distribution is simply obtained by computing the probabilities for all C categories of the response according to the estimated model, i.e., we obtain the predictive distribution π ^ i = (π ^ i 1, π ^ i 2, …, π ^ i C ), derived from the estimated model for observation i, and c i is the realized value for this observation in the data set.
