Sentence examples for general datasets from inspiring English sources

In general, datasets contain several types of variables that do not necessarily follow a normal distribution.

In order to solve non-linear problems, SVMs use a kernel function [17, 18], which allows better fitting of the hyperplane to more general datasets.

In general, datasets with limited tilt range tend to result in reconstructions with artefacts that are harder to correct than those related to large tilt increments.

Thirdly, the ANN is capable of being applied to more general datasets where non linear signals are significant.

In general, datasets with longer reads (e.g. 101 bp PE reads) resulted in a higher proportion of uniquely mapped reads than those comprised of shorter reads (e.g. 50 bp SE reads).

Although this agreement between the lymphoblastoid chromatin dataset used in this analysis and other more general datasets is reassuring, GC content has previously been associated with rates of mutation and selection.

General dataset information and mean feature values are provided on the right-hand side.

We refer to these papers for a more detailed description of the general dataset, its conceptual schema and the discussion of representativeness of the data.

The Kylberg Sintorn Rotation Dataset is a generic texture dataset with similar types of textured surfaces as in the Outex dataset but with the same general dataset structure (many samples of each texture-rotation combination) as the Mondial Marmi dataset.

Focus was placed on these two models because they are simpler than the composite model and their performance in the general dataset is the same or slightly better than the other models (Figure 2).

In addition, we compared the relative abundance of the motif in the particular dataset to that obtained in the general dataset (ALL).