Sentence examples for discriminant capability from inspiring English sources

The modeling power and discriminant capability from the 9 PCs show that no membrane could be removed to build these models.

Item discriminant capability and questionnaire discriminant validity with respect to known groups of patients (by gender, principal diagnosis, age, disease severity and treatment) were also assessed.

The GAD-2 questionnaire has been proven to retain the good psychometric properties of the extended version and to have similar discriminant capability [ 3, 25].

To analyze the discriminant capability of each item considered individually, two groups of patients were created on the basis of the scores obtained on the total scale.

Inclusive of this is the aggregation of several region descriptors into compact features that represent each region with better discriminant capabilities.

In the proposed approach, we design a strategy to select the serial calculation order of variations and provide a rule to choose projection vectors with favorable discriminant capabilities.

As an extension of his study, this research proposes a new type of DEA-DA, or "Extended DEA-DA", that can overcome some methodological drawbacks of its original formulation, but simultaneously maintaining its discriminant capabilities.

And the analysis of the isolated items indicates that all of them have good discriminant capabilities.

The discriminant capabilities of the GAD-2 were assessed using the receiver operating characteristic (ROC) curve statistics, against the clinician diagnosis using DSM-IV criteria.

To validate these findings, the discriminant capabilities of each feature are determined using several measures: statistical significance, principal component analysis PCA) [ 77], linear discriminant analysis independent search (LDAi) [ 77], linear discriminant analysis forward search LDAf) [ 77], linear discriminant analysis backward search LDAb) [ 77], and gram-Schmidt (GS) analysis [ 78].

The discriminative approaches aim at optimizing the discrimination capability under view variations by learning discriminant subspaces or metrics.