Sentence examples for more informative classification from inspiring English sources

Application of the more informative classification in five or eight classes was not feasible due to the small study population [ 22].

Thus, 10 years after the challenge thrown by the director of the US National Cancer Institute, the need for a 'vastly more informative classification system' for gliomas still exists.

The sensitivity of role classification to different heuristics is, ultimately, an empirical question: for some data structures, some divisions will yield more informative classifications than others.

Furthermore, the precise interpretation of the epigenetic landscape is more informative for classification than the simple identification of differentially expressed genes12,13.

If selected infrared wavelengths are used, then these can penetrate better through the atmosphere or glass [6], and if multiple wavelengths are used, then this be can more informative in surface classification [9, 10].

This study investigates the possibility of making tumor classification more informative by using a method for classification ranking that requires no additional ranking analysis and maintains relatively good classification accuracy.

Hewett et al. [ 23] investigated the possibility of making tumor classification more informative by using a method for classification ranking.

The purpose of this article is to present methods to reduce the number of variables and keep those that contain more information for reliable and informative classification.

These results support our premise that exploring a plurality of side views can boost the performance of graph classification, and the gSide evaluation criterion in gMSV can find more informative subgraph patterns for graph classification than subgraphs based on frequency or other discrimination scores.

As soon as the feature vectors from each source of data are assembled, we either feed them directly as input to the classification algorithms, or employ a feature selection algorithm in order to discard redundant or correlated features and maintain a more informative subset, thus, facilitating the classification task as well.

In 1999, the director of the National Cancer Institute challenged 'the scientific community to harness the power of comprehensive molecular analysis technologies to make the classification of tumours vastly more informative.' This challenge aimed to change 'the basis of tumour classification from morphological to molecular characteristics' (NIH Guide, 2008).