Sentence examples for equivalent classifications from inspiring English sources

Cavendish won the equivalent classifications at the 2010 Vuelta a Espana and 2011 Tour de France and his feat at this year's Giro sees him join a group containing Uzbekistan's Djamolidine Abdoujaparov, Italy's Alessandro Petacchi, France's Laurent Jalabert and Belgian legend Eddy Merckx.

We compared this clustering with equivalent classifications defined by the EC hierarchy using the enzyme annotations in the BRENDA, PROSITE, InterPro and GO resources (See "Datasets" above).

There is a need for equivalent classification categories for aerial application conditions.

It is designed for the extraction of alternative and equivalent classification models through iterative deletion of selected features.

At the completion of the approved leave period, an employee will be reinstated to his or her former position or a position of equivalent classification and pay within the department.

Our comparison with the support vector machine (SVM) also shows that, the GLD, together with the LNS, requires as much as 150 times lower training time to achieve an equivalent classification accuracy on some of the datasets.

Additionally, we explore an alternative to the method of Mourão-Miranda et al. tailored to use in rapid ER designs that yields equivalent classification accuracies, but is better at unmixing responses to temporally adjacent events.

An individual's job or a job of equivalent classification and pay will be restored by the department or laboratory at the completion of the leave unless the position has been eliminated by reduction in the work force or operational change under circumstances applying equally to any other similar jobs in the department.

In Section 2, we give equivalent classification based on the coefficients (c_{k} ).

However, with random forest, the method yields almost equivalent classification accuracy, whereas KNN yields better accuracy than all other competing methods.

The RASCAL algorithm is shown to give equivalent classification performance to PRW but at lower computational expense allowing it to be applied more efficiently in the ensemble scheme.