Sentence examples for rank model from inspiring English sources
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.
The key of DocChat is a learning to rank model with features designed at various levels of granularity which is proposed to quantify the relevance between utterances and responses directly.
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.
We used an information-theoretic approach to rank models of fecal glucocorticoid metabolites.
We used model selection with AIC to rank models and to determine the most-supported model for each guild.
Both can be used to rank models based on goodness of fit.
The first one simply calculated the average of original 14 QA scores to rank models.
We used the Akaike information criterion (AIC) [ 23, 24] to rank models by their quality of fit.
