Sentence examples for classification dimension from inspiring English sources

For the first letter of the classification code (Classification Dimension; CD1) all cases were used, for the second one (CD2) only the cases with agreement on CD1, for CD3 the cases with agreement on CD1 and CD2 etc. Calculations were done with the MAGREE macro of SAS SAS Institute Inc.., Cary, NC, USA).

Our classification dimensions follow from these questions: Perspective: is the study focusing on the perspective of the infrastructure user or or on the perspective of the provider?

Specifically, based on the selected classification dimensions all the associated service attributes are presented in order for the consumer to declare his choices (Fig. 5 - screen 1).

However, pedagogical classification systems need to be evaluated to assess their quality with regards to providing a degree of inter-subjective agreement on the meaning of the classification dimensions they provide.

In this research walnut mass was predicted by using different physical properties with linear and nonlinear models as three classifications (dimension, projected areas and volume).

Experimental results explicitly indicate that DFS offers a competitive performance with respect to the abovementioned approaches in terms of classification accuracy, dimension reduction rate, and processing time [34].  .

Simulations demonstrate that, by utilizing the joint information available in the data for both classification and dimension reduction, CORAL outperforms several popular, algorithm-based methods for clustering and ordination in ecology.

We do not further consider the question of determining exactly the case where the divisor (K_X) is trivial, also because this question can be asked also for the more general case where the action of G is not free (see [316] for a classification in dimension (n=3)).

Many of such applications can be formulated to classification and dimension reduction problems in machine learning.

The principle of sparse representation has been applied to analyzing high-dimensional biological data within the frameworks of clustering, classification, and dimension reduction approaches.

This classification of dimensions and their respective decision variables could be of potential value to future researchers in the field and is also capable of further refinements.