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Feature selection was performed using Boruta [ 24], which finds informative features by measuring the relevance of each attribute with respect to a reference attribute, also called correlation class, and in comparison with a random model extracted from the original dataset.
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The covariance matrix is a n F × n F matrix which fuses multiple features naturally by measuring their correlations.
A rough derivative of the vocal features was computed by measuring the relative change between feature values on consecutive session days for each subject.
The mean of {C1,..., Cn} is chosen as the clustering coefficient feature [ 23]. 5. Topological change: For a weighted graph, topological change features are gained by measuring the topological changes when different weight cutoffs are applied to the graph (ranging from 1 to 8).
We aimed to explore the specificity of schizotypal features to schizophrenia by measuring their prevalence in subjects with bipolar disorder.
The resolution of ˙h features was evaluated by measuring the average turbulent flame length, the spatial power spectral density, and the flame surface curvature.
This scoring function evaluates two features: (1) robustness, by measuring the similarity between the AD profiles of two external datasets, and (2) proximity to a smooth descending AD profile (accuracy vs the AD-produced measure of prediction confidence).
The morphology of the electrospun mats was observed using Scanning Electron Microscopy (SEM), and its features were described by measuring the average fiber diameter, the average bead density and the percentage of mat surface covered by beads.
Both features were extracted by measuring the frequency 4-mers in four overlapping sub-regions of the given sequences as described in Table 1.
Local habitat features were characterised by measuring channel width, depth, assessing bottom substratum and aquatic vegetation.
Distances between breakpoints and features were found by measuring the minimal distance between the end points or the distance between midpoints of the breakpoint and feature (see fig. 1 C and Methods).
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