Sentence examples for measures for feature from inspiring English sources

This study examined the usefulness of radar-derived texture measures for feature identification.

Vielhauer et al. [126] describe the issue of choosing significant features of online signatures and introduce three measures for feature evaluation: intrapersonal feature deviation, interpersonal entropy of hash value components and the correlation between both.

The area of overlap between inter-class and intra-class distance distributions of individual features is identified as a useful measure for feature selection.

Information gain is a well established measure for feature selection in Machine Learning.

Extending mutual information has been extensively used as a similarity measure for feature selection fields [ 21– 21].

Mutual information has been widely used as a promising measure for feature selection and here is defined as (2) M I X ; Y = H X + H Y − H X, Y, where H X) is the entropy of X; X, representing a SNP combination, is the general expression of Position t (p), pbest t (p), and gbest t ; H(Y) is the entropy of the phenotype Y; H X, Y) is the joint entropy of both X and Y.

Another interesting approach was proposed by Sun and Tan [2] exploiting ordinal measures for iris feature representation.

Each sample provided measures for 3091 features from an anion exchange (AE) column, and 3714 features by reverse phase (C18) liquid chromatography, for a total of 6805 features (note that some overlap occurs between columns) (see Experimental procedures below, and Soltow et al., 2011; for a description of the differences between these two columns).

The conclusion, in both papers, was that there was a modest difference in multiple outcome measures for courses featuring online modalities in particular, blended courses.

We calculated an importance measure for each feature by averaging the classification accuracies of all five-feature subset models containing the feature.

However, performance was not matched or measured for the feature types prior to sleep, so it is unknown whether sleep was boosting these memories above baseline.