Sentence examples for classification together with from inspiring English sources

Examples are provided below for each classification, together with their impact on various stakeholders.

The seventh edition of the TNM classification, together with undeniable advantages, has limitations.

This classification, together with the numbers of both the circumferential and the longitudinal nodes, is sufficient to identify each mode of a finite length thick cylinder.

To test this hypothesis, we assessed the relationship between mortality and fracture stability using Tile's classification together with an examination of injury severity of each patient.

Geomorphic features were identified by visual analysis of satellite images through combined observation of shape, tone, texture, location extent and unsupervised image classification, together with the use of normalized difference vegetation index (NDVI).

We provide a specialization of the bound to multiclass classification together with empirical evidence that the presented theoretical result is tightly bound to the risk of the majority vote classifier.

To detail the genomic changes in the YLS, we searched all predicted genes involved in Eukaryotic Orthologous Group (KOG) classifications, together with four other related free-living fungi.

In DP with classification, we compute a classification attribute together with each score value, such that scores can be attributed to a particular class of (sub solutions.

It is concluded that the combined classification method together with the object-based change detection analysis leads to an improved classification accuracy and land cover change detection.

Decision Support Systems (DSSs) based on Fuzzy Logic are gaining increasing research interest in order to solve classification problems in a wide range of application fields, especially in medicine, where the chance of presenting classification results together with a clear explanation and with a measure of the associated uncertainty is highly appealing.

A high quality surrogate is achieved using a probabilistic classification function together with a metric for refinement of the model.