Sentence examples for most discriminatory features from inspiring English sources

Some audio features are strategically extracted and the most discriminatory features are selected using Principal Component analysis (PCA) approach.

"The most discriminatory features of the old code have been removed, and there is very powerful symbolism in that," said Solange Bentes Jurema, president of the National Council for Women's Rights, one of the country's leading feminist organizations.

The ability of the proposed method to select the most discriminatory features resulted in improved classification performance with a smaller number of features, although the number of features that are required for achieving high recognition accuracy varies from one database to another.

Often chosen as one of the most discriminatory features by a wide array of predictors [ 8, 23, 29, 31- 33, 37- 39], the Solvent Accessible Surface Area (SASA) of residues is thought to be of significant importance in PPIS prediction.

Age at diagnosis was the most discriminatory feature in 7/9 studies where it was assessed, with optimal cut-offs (>70% mean sensitivity and specificity) across studies being <30 years or <40 years.

In addition, we purified and identified two of the most discriminatory proteomic features with m/ z ratios of 23 000 and 23 500.

This has been explained by Li et al. [ 38], who, along with Sikic et al. [ 8] and Segura et al. [ 40], found the depth and protrusion features to be the most highly discriminatory features of their respective predictors.

First, the U.S., EU, and international financial institutions should condition future assistance on Bosnia's immediate fulfillment of a 2009 "Sejdić-Finci" ruling of the European Court of Human Rights against the most blatantly discriminatory feature of the election system.

Pattern representation is often used to extract the most descriptive and discriminatory features in the original data set; then these features can be used exclusively in subsequent analyses [22].

When comparing discriminative ability of the most commonly reported criteria within studies, age at diagnosis, at the cut-off described in the individual study, correctly classified more patients than the other clinical features (most discriminatory criteria in 7/9 studies).

The employment of the CFS algorithm for feature selection maintains the following features as most discriminatory: smoker, tumor thickness, lymphoplasmacytic rection, perineural invasion, num mitoses HPF, surgical margins, p53 stain and N staging.