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(ii) Calculating a posteriori score based on likelihood score and informative prior.
Firstly, a gene regulatory network construction algorithm is proposed, in which a boosting regression based on likelihood score and informative prior is employed for improving accuracy of identification.
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The fit of different nucleotide substitution models were estimated based on likelihood scores calculated in PAUP* 4.0 [46] analysed on the ModelTest server 1.0 [47] running ModelTest 3.8 [48] using the standard AIC (Akaike Information Criterion) and using branch lengths as parameters.
The outcomes produced by each parameter set were scored according to their fit with multiple calibration target data based on likelihood scoring functions.
We present two different methods for scoring a DAG: one based on parsimony and one based on likelihood.
Elaborate scoring algorithms based on likelihood methods have been developed [ 35].
Based on likelihood and informative prior, we thus can rewrite (2) as the following: (6) log (posteriori score ) = − log (RS S) + log (C 2 ).
The single particle filters weight particles based on a likelihood score and then propagate these weighted particles according to a motion model.
For this reason, we do not think that it is reasonable to select the number of bins based on the likelihood score of the model.
Based on maximum likelihood scores, the identity of a face in the video sequence was recognized.
The marker order along LGs was determined based on maximum likelihood scores.
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