Supervised statistical learning covers important models like Support Vector Machines (SVM) and Linear Discriminant Analysis (LDA). In this paper we describe the idea of using the discriminant weights given by SVM and LDA ...

The objective of this paper is to study the Chilean labor market and determine the presence or absence of gender discrimination. In order to break past the limitations of earlier works, an experimental design is used, ...

Combating racial discrimination involves the ability to notice when it occurs. Studies conducted with U.S. children have shown that cognitive, individual and situational factors make some children better at recognizing ...

In this article, we consider the use of 3 attribute charts—the npxy, the npw and the Max D charts—to control the covariance matrix of bivariate processes. In comparison with the generalized variance |S| chart, the 3 attribute ...

This study investigated (a) how prototypical happy faces (with happy eyes and a smile) can be discriminated from blended expressions with a smile but non-happy eyes, depending on type and intensity of the eye expression; ...

This article proposes two Shewhart charts, denoted np(xy) and np(w) charts, which use attribute inspection to control the mean vector ((x); (y)) of bivariate processes. The units of the sample are classified as first-class, ...

This article provides a different methodological proposal to disability research grounded in the intersectional perspective since other forms of research, such as the dogmatic perspective of law, have shown limited results ...