Sentence examples for merit of features from inspiring English sources

The merit of features is given in Table S1.

This equation is used as a heuristic measure of the "merit" of feature subsets in classification tasks.

Probabilistic topic model-based dimension reduction algorithms attract more and more attention because it maintains the merit of feature extraction and to some extent overcome the high computational consumption problems.

These findings showed the merit of feature subset selection to identify family-specific amino acid composition and physicochemical properties that characterize the peptides of the family and discriminate the AMP family from other AMPs.

The correlation-based feature selection method [ 31] ranks feature subsets based on a heuristic evaluation function as follows: M s = k r cf ¯ k + k k - 1 r ff ¯, where M s is the heuristic merit of the feature subset S containing k features, r cf ¯ is the average feature-class correlation, and r ff ¯ is the average feature-feature inter-correlation.

CFS computes a heuristic measure of the "merit" of a feature subset from pair-wise feature correlations and a formula adapted from test theory.

The following heuristic expresses the merit of a feature subset I of size k (1) where r i is the correlation between feature i and the class variable and r ij the correlation between two features i, j in the subset.

Searching algorithm in both techniques are similar but filter is faster and more practical when the populations of the features are high because the approach is based on general characteristic of heuristic data rather than a method with a learning algorithm to evaluate the merit of a feature subset.

RELIEFF basically evaluates "merit" of each feature according to how well their values distinguish among neighbouring instances by repeatedly sampling an instance from the dataset.

Herein, we review the progress in organometal halide perovskite photodetectors for the past few years, focusing on their key figure-of-merit features and operation mechanisms of different device structures.

The merit feature of our approach is the automatic discretization of abundance levels of microbial genus and genes.