Sentence examples for compatible classification from inspiring English sources

Exact(1)

By contrast, the 2005 police reports, which use a different but compatible classification system to ICD-10, recorded only 33 000 vulnerable road user deaths and only 9000 pedestrian deaths.

Similar(59)

6 We include a robustness exercise that considers only the individuals that do not switch sectors in Section 3. 7 We aggregate the ISIC-coded industries of KLEMS so as to be compatible with the classification of the US Census Bureau adopted by the HRS.

The fact that the V6 amplicon sequences are compatible with phylogenetic classification and diversity analysis is due to several factors.

All had clinical symptoms of less than 2 years of evolution compatible with their classification as early RA.

Besides, the proposed over-sampling method is basically compatible with basic classification algorithms and the existing over-sampling methods.

It is expected that the proposed over-sampling method is basically compatible with basic classification algorithms and the existing over-sampling methods.

Of these 50% (134/275) and 35% (46/135) had a syndromic classification compatible with the clinical data recorded in intervention and control sites respectively.

Upon this scenario, the possibility to implement the clan AA database with PSSMs is viable and compatible with our classification criterion if using the MRCs currently available to iterate searches that can improve the capability of the phylogenetic HMMs or generate highly informative PSSMs.

The timing and topography of the effect are compatible with its classification as a P3a (Squires, Squires, & Hillyard, 1975), also referred to as the novelty P3 (Simons, Graham, Miles, & Chen, 2001; Spencer, Dien, & Donchin, 2001), which is often observed following an MMN and thought to reflect automatic attentional re-orientation or novelty detection in the absence of direct attention.

A strictly character-based approach has the benefit of being hypothesis-driven, readily compatible with taxonomic classifications, and necessary for the design of microarrays.

Traditional ROC curves are not compatible with multi-class classification tasks.

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