Sentence examples for empirical classification of from inspiring English sources

Philosophical problems arise because there are certain distinctions which do not map onto the empirical classification of reality.

We also explored alternative approaches to derive an empirical classification of graduate jobs (see Green and Henseke 2014 for details).

To construct an empirical classification of patients with shoulder complaints, and then to investigate the relationship between the empirical classification and the setting in which the patients were recruited, their demographic and clinical characteristics, and the original diagnostic categories.

Using such a geometrical approach and partly analytical theory, the original empirical classification of excitability was further pursued with bifurcation analysis [6], explaining class I by identifying its threshold as a stable manifold of a saddle point on an invariant cycle and the threshold of class II as a trajectory from which nearby trajectories diverge sharply (called canard trajectory).

Thus, the empirical classification of distances ranging between 1000 and 2400 m according to the International Federation of Horseracing Authorities (www.horseracingintfed.com) should be regarded as arbitrary.

For the empirical classification, 17 of the 29 classes occurred in the set of eastern U.S. FIA plots.

In each layer, we construct a dictionary of filters by combining the filters from the lower layer, and iteratively optimize the image representation with a joint discriminative-generative formulation, i.e. minimization of empirical classification error plus regularization of analysis image generation over training images.

A recent update of the definition of acute respiratory distress syndrome (ARDS) proposed an empirical classification based on ratio of arterial partial pressure of oxygen to fraction of inspired oxygen (PaO2/FiO2) at ARDS onset.

The empirical classification highlights assemblages of tree species, including dominant species, and corresponds well with broad environmental conditions.

This study was designed to replicate and extend previous research on post-treatment responding by identifying trajectories of change on the basis of an empirical classification strategy and to examine predictors of those change trajectories identified.

In project phase, they are normally evaluated by laboratory and in situ tests and, in the specific case of rock masses, by the application of empirical classification systems.