Sentence examples for by computing the likelihoods from inspiring English sources
The ML sequence of actions and their likelihoods over a number of time steps is used to find the most likely behaviour by computing the likelihoods of each of the predefined normal behaviour HMMs explaining the current action sequence.
Confidence intervals around marker positions were estimated by computing the likelihoods of each marker in all possible positions, while preserving the final order of remaining markers in the linkage group.
This is followed by computing the likelihood of dominant supports within a cluster using (9) and E [ α S | r ] using (8).
Furthermore the accuracy of two tests used in combination was analyzed by computing the likelihood ratios, together with the distribution of subjects with and without active tuberculosis, according to the responses to the tests.
Further evaluation of the validity of routine abattoir inspection procedure was carried out by computing the likelihood ratio (LR).
We tested whether it is appropriate to assume two different ω-ratios in the tree within the clades model by computing the likelihood under the simpler M0-model of codeml and performing a Likelihood Ratio Test (LRT).
We assessed the possibility of interactive effects between each pair of SNPs that displayed some evidence of association (P<0.1) by computing the likelihood ratio test statistic for the saturated model against the main effects model.
For sequences in the outbreak group, as determined by the strongly supported interior branch described above, the alternative hypothesis was evaluated by computing the likelihood of the phylogenetic tree obtained by moving all the sequences obtained from the corresponding sample to the base of the clade defined by control and non-outbreak samples (Additional file 3).
We also assessed the possibility that the effect of each SNP on CRC risk was modified by age by computing the likelihood ratio test statistic for the model with a genotype-age interaction against the model with genotype and age terms only.
A contextual gene set interaction network is built from S U, which is a set of all samples after the expression summarization of the original gene expression matrix D, by computing the likelihood of dependency d i j = Pr G i ↔ G j | S U ) (= d j i ) between each pair of contextual gene sets G i and G j. G i ↔ G j is a connection between two contextual gene sets G i and G j in any direction.
After these models are built, classification of fault signal is accomplished by computing the conditional likelihoods of the signal under each learned GMM model and selecting the model with the highest likelihood.
