Sentence examples for rank models from inspiring English sources

We used an information-theoretic approach to rank models of fecal glucocorticoid metabolites.

Nevertheless, considering that low rank models are realistic in this application and the chosen tensor representations, a rapid visual evaluation for setting the model parameters is feasible.

We used model selection with AIC to rank models and to determine the most-supported model for each guild.

The first one simply calculated the average of original 14 QA scores to rank models.

Both can be used to rank models based on goodness of fit.

We used the Akaike information criterion (AIC) [ 23, 24] to rank models by their quality of fit.

The background model is a regression based low rank model.

Finally, ranking scores obtained from PRF, UMLS expansion, and word embedding document distances are used as features to the supervised learning to rank model.

M is the number of eigenfunctions included in the reduced rank model.

Furthermore, the full rank model becomes over-parameterized due to high genetic correlations.

A reduced rank model is, in essence, a FA model where specific effects are assumed absent, i.e. Ψ = 0.