Sentence examples for predictors features from inspiring English sources
In these models, the predictors (features) are the matching scores of promoter sequences to putative binding motifs, and the predictions (responses) can be continuous or discrete gene expression levels or categorical cluster labels.
The two SVM predictors (Feature Set 1, w=0 or 1) clearly outperforms all other approaches over much of the range of prediction threshold.
The predictor features extracted for the study (Table 2) were selected based on the earlier studies (e.g., Vauhkonen et al. 2014b).
Similar to the results obtained previously in this study, the combination of the predictor features differed depending on the dominant species in question.
This is attributed to the ability of hybrid RBF-PLS model to capture any underlying non-linearity in the relations between the predictor features and the response variables.
We derived predictor features from airborne laser scanning (ALS) data and used Most Similar Neighbor (MSN) and Seemingly Unrelated Regression (SUR) as examples of non-parametric and parametric prediction methods, respectively.
Most of these approaches are aimed at UV in large vocabulary tasks, that is, posterior probability estimation using word lattices and predictor features like acoustic stability and hypothesis density.
The relationships between the predictor features derived from the ALS data and the volumes of Scots pine, Norway spruce, and deciduous species were considerably different depending on the dominant species.
Firstly, "area-based" methods where the area-based prediction of forest variables is based on the statistical dependency between variables measured in field plots and the predictor features derived from LiDAR data (e.g. Corona and Fattorini 2008; White et al. 2013).
The PDB structure is the observed quantity, and the individually optimized structures in the ensemble are our noisy predictor features.
Therefore, PLS aims at finding uncorrelated linear transformations (latent components) of the original predictor features which have high covariance with the response features.
