Sentence examples for different groups of features from inspiring English sources
Based on the literature, we created different groups of features that capture the characteristics of potential human trafficking activities.
Six different groups of features are extracted from sequence data.
For further investigations of our feature selection method, we compared the ROC curves of 10-fold cross-validation performance with different groups of features.
Each row of histograms correspond to a different group of features: intensity, structure, intimacy and temporal features from top to bottom.
The five testing methods differed in their rankings of effectiveness of the two surrogates in relation to different groups of test features.
Using this model, they predicted expression status and expression levels with high accuracy by employing different groups of chromatin features [16].
Secondly, in vitro as well (Tounekti et al, 1993), after cell electropermeabilisation in the presence of different doses of BLM, we observed two very different groups of morphological features that, as further discussed here, allow to conclude that, both in vitro and in vivo, tumour cells can die either through a mitotic cell death process at low BLM doses or by pseudoapoptosis at high doses.
However, it is still up to researchers to decide whether they prefer to use the same parameters for all the participants, adapt the parameters on a participant basis, or rather have different input parameters for different groups of participants featuring different levels of data quality (as we did in our validation section).
Above all, their strength has been in creating open spaces for discussion among different groups of stakeholders – whether that discussion features research evidence or not.
This is due to differences in the distributions of predictive features and differences in the synergistic impact (interactions) between and among these features in different groups of patients.
The goal of this step of analysis is to characterize the four different groups of multi-spectral images by extracting features in order to make classification possible.
