Sentence examples for generating the highest likelihood from inspiring English sources

Our technique first examines the candidate generating the highest likelihood, followed by the candidate generating the second highest likelihood, then by the candidate generating the third highest likelihood and so forth until all candidates (four in our case) are examined.

The solution candidates are labeled by a number from 1 to 4. Here, label 1 denotes the solution candidate generating the highest likelihood, while label 4 denotes the solution candidate generating the lowest likelihood.

Our fusion order first examines the candidate generating the highest likelihood, followed by the candidate generating the second highest likelihood, then by the candidate generating the third highest likelihood, and so forth until all candidates (four in our case) are examined.

Hence, fusion order (1,2,3,4) means that it first examines the candidate generating the highest likelihood, followed by the candidate generating the second highest likelihood, then by the candidate generating the third highest likelihood, and finally followed by the fourth and last candidate.

And it is that scenario that is most frightening and is the one that will generate the highest likelihood for military confrontation between the West and the Islamic republic.

The parameter values that generate the highest likelihood among the 100 EM replicates are chosen as our estimates.

This formulation reflected Scottish observations that mortality from hanging, shooting, cutting, and jumping from a height generated the highest likelihoods that decedents from a pool of suicides and undetermined deaths would be classified as suicides [ 29].

Wherever possible, we used CODDLE (Codons Optimized to Discover Deleterious LEsions) [ 25] to identify exons in which ENU has the highest likelihood of generating nonsense mutations.

This set was generated by saving the 999 trees with the highest likelihood found during ML analyses in PAUP*4B10 (10 random sequence additions plus TBR).

For all hypothesized SNR conditions, we calculate the joint likelihood of all mixture frames and the Gaussian sequences being generated by the factorial HMM, and the hypothesized input SNR corresponding to the highest likelihood is selected as the detected value.

The highest likelihood for each alternative was saved for the likelihood ratio test (LRT).