Sentence examples for resolution of classification from inspiring English sources

Land cover is increasingly the focus of research, but there still is no consensus on how to classify land cover to distinct habitat classes, so we analyzed the CORINE land cover data with three different levels of thematic resolution (resolution of classification scheme ˗ less to more detailed).

We use the neural networks in the diagnosis task because it demonstrated its efficiency in the resolution of classification problem.

I also demonstrate that 'binary recoding', a procedure commonly carried in previous studies based on root-meaning sets, has the effect of inflating the resolution of classifications based on these sets (Chousou-Polydouri et al. 2016).

Its flexibility enables the generation of realistic sonar images at various resolutions and the exploration of the effects of resolution on classification performance.

To gauge the resolution limits of classification by our novel features in this prediction task, each feature alone was used to construct a prediction model for catalytic residues and compared to other features used in earlier studies Table 1.

We survey the results on free resolution of curves, classification of liaison classes and minimal curves, and mention the relevance to the study of the Hilbert scheme of curves in $P^3 $

The distance parameter, δ can be altered for the analysis, with different values changing the degree of typological resolution of the classification.

Earthen roads are of about 3 m maximum of wideness and measured GPS points could easily be taken into account into the bad land use class due to the rough resolution of the classification.

The conclusions one can draw from MVPA are however limited by the low differential resolution of the classification procedures; the classifier algorithms can only distinguish between categories they have been explicitly trained on.

Thus, at a very low resolution of habitat classification the model does recognise species differences, as it excludes all those not known to breed in woodland.

A 5-genome synthetic community was constructed using MetaSim (Richter et al., 2008) to test the taxonomic resolution of their classification (Table 1 and Supplementary Figure 1).