Sentence examples for classification studying from inspiring English sources

Exact(3)

Ontologies address the existence of entities, organize them into groups based on their similarity, develop hierarchies and study the relationships among them, which allows for the drawing of inferences based on their classification, studying how they interact with other distinct entities in the real world and, finally, helps in the development of domain ontologies.

The independent variables were: age group, marital status, religion, racial classification, studying, having a paid job, annual family income (US$), number of people living with the pregnant adolescent, first pregnancy, number of living children, gestational age at the first consultation, first consultation of the prenatal assistance, results of the IgG and IgM serology for toxoplasmosis.

The proportion of the pregnant adolescents according to the age group differs statistically regarding the marital status (p = 0.003) and religion (p = 0.010), while racial classification, studying, paid job, annual family income and number of people living with the pregnant adolescent do not differ between the two age groups.

Similar(57)

In the image classification study the trained classifier worked well for road scenes which are definitely of built-up or non-built-up nature.

Greenberg's studies on language universals are less controversial than his classification studies.

Classification studies have been carried out using principal component analysis (PCA) of the fractal spectra.

IDEAL is a multicenter prospective, randomized, open-label, blinded, end point classification study.

Four groups labeled in the MIT-BIH arrhythmia database are selected and used in our classification study.

In particular, the classification studies performed along with the use of machine learning (ML) approaches is increasing a little more with each passing day.

Section 8 contains a major application of our methodology to a larger set of syllables in a more complex classification study.

Fassnacht et al. [87] reviewed currently available tree species classification studies and identified promising local scale approaches with multiple options of available remote sensing data.

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