Sentence examples for model selection tool from inspiring English sources
Phylogenetic analysis, performed with the maximum-likelihood method with parameters selected by the Model Selection tool in MEGA version 5.0 (15 ), showed that the HCoSV VP3 VP1 sequence from Italy clustered with species E strains found in Australia and Bolivia and recombinant D/E strains circulating in Nigeria.
Using the random effects likelihood method (REL) which allows for rate heterogeneity in both KS and KS and the TrN93 model (as chosen by the built in model selection tool), Datamonkey confirmed the results from PAML by identifying 20 positively selected sites in Sep53 (Bayes factor = 50).
ML tree reconstructions were done with the program TREEFINDER [ 78] with the LG + Γ model [ 79] and 4 rate categories, which was selected as the best-fit model for all our datasets by the model selection tool implemented in TREEFINDER [ 78].
This paper first proposes a multi-objective uniform design (MOUD) search method as a SVM model selection tool, and then applies this optimized SVM classifier to face recognition.
Akaike Information Criterion (AIC) is frequently employed in the semiparametric setting of selection of copula models, even though as a model selection tool it was developed in a parametric setting.
In keeping with this goal, we used the Akaike Information Criterion (AIC) as a model selection tool because it is based on the principle of parsimony [47].
Various other prominent model selection tools are based on methods from Bayesian statistics.
The use of model selection tools based on information criteria such as AIC, AICc, and BIC tends to avoid the over-fitting problem (Burnham and Anderson 2002).
Then statistical model fitting follows the form of theory generation in artificial intelligence, with statistical model selection tools and the statistician taking the place of the inference engine.
Indeed, other model selection tools, like the deviance information criterion (Spiegelhalter et al 2002) and the approach based on minimum description length (Grunwald 2007), also result in expressions that feature a term that penalizes complex models.
The study presented in [11] suggested to use model selection tools like Akaike information criterion (AIC) and the minimum description length (MDL) criterion to conclude on the nature of the sensed band.
