Sentence examples for informative classification from inspiring English sources

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.

The first important attempt to establish an informative classification of the dinosaurs was made by the English biologist T.H. Huxley as early as 1868.

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.

This study found that, by combining the time course of tumour volumes with a measure of Ki67, the estimates of parameter values were precise enough to permit a potentially useful and informative classification of the responses.

We used 69,731 protein sequences from the International Protein Index (IPI) dataset, representing the total human proteome, to create an informative classification for the majority of the non-redundant transmembrane (TM) proteins.

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.

The results derived by PCA dimension reduction show that the elements which contribute the most to the formation of the PCs are not quite informative for classification as well (also confirmed by biplot examination).

In high-dimensional applications, it is often desirable to build a classifier using only a subset of features due to the fact that (i) many of the features are not informative for classification and (ii) the number of training samples available for building the classifier is substantially smaller than the number of possible features.

We also summarize the specific morphological features that prove to be most informative in classification.

However, four or five distinct sets of attributes showed low correlation to each other and were shown to be informative for classification.