Sentence examples for external classification from inspiring English sources

Despite demonstrating high accuracy on benchmarks, they reproduce the external classification for many real-world systems with a significant level of discrepancy.

In this article, we emphasize a third possible reason behind such discrepancies, i.e. the fact that the external classification itself may possess its own limitations.

In this article we systematically show that the observed discrepancies may also be caused by a different reason: the external classification itself.

Understanding the information employed to define the so-called ground truth is therefore crucial in order to perform a proper comparison between external classification and automatically retrieved communities.

In this perspective, the external classification of the articles is represented by the arXiv standard split into different subject classes or categories (astro-ph, cond-mat, etc).

Surprisingly, significant discrepancies have been identified between the extracted grouping of nodes and their external classification for these systems [11, 15].

The differences between the outcomes of community detection algorithms and possible external classifications may have various reasons.

All deaths in which an external factor [International Classification of Diseases 10th revision (ICD 10) code V01 to Y98] 15 was a direct or contributing cause in the county and occurring from 1 January 1995 to 31 December 2004 were acquired from the Norwegian Cause of Death Registry.

E-code: External causes-code; ICD: International classification of diseases; WHO: World Health Organization.

Data were extracted for the entire study period (1996 2002) with the use of International Classification of Diseases, 10th Revision (ICD Website, 2007) 7 and the second edition of the Nordic Medico-Statistical Committee's (NOMESCO) Classification of External Causes of Injuries (NCECI).

In addition, external product classification can play a significant role.