Statistical machine learning focuses on non-parametric models that learn the minimum necessary to perform the targeted discrimination. For instance, in a binary classification problem, SVMs will only use the examples located within a boundary margin between the two classes to compute the optimal separation. However, one can consider other discrimination settings that use the entirety of the dat...

Social-class discrimination is evident in many societies around the world, but little is known about its impact on the poor or its role as an explanatory variable in the link between socioeconomic status and health. The current study tested the extent to which perceived discrimination explains socioeconomic gradients in physical health. Participants were 252 adolescents (51% male, 49% female; m...

We introduce a learning algorithm for the weights in a very common class of discrimination functions usually called \weighted average". Diierent submodules are produced by some feature extraction and are weighted according to their signiicance for the actual discrimination task. The learning algorithm can reduce the number of free variables by simple but eeective a priori criteria about signiic...

It is shown that the dissonance, a quantum correlation which is equal to quantum discord for separable state, is required for assisted optimal state discrimination. We find that only one side discord is required in the optimal process of assisted state discrimination, while another side discord and entanglement is not necessary. We show that the quantum discord, which is asymmetric depending on...

Linear Discriminant Analysis (LDA) and its nonlinear version Kernel Discriminant Analysis (KDA) are well-known and widely used techniques for supervised feature extraction and dimensionality reduction. They determine an optimal discriminant space for (non)linear data projection based on certain assumptions, e.g. on using normal distributions (either on the input or in the kernel space) for each...

HR managers are directly involved in downsizing a workforce, yet most are unfamiliar with the statistical computations plaintiffs refer to in discrimination cases against their organizations. Plaintiffs use these statistics and procedures to challenge the effect of personnel layoff decisions, either with individual or class-wide discrimination challenges. HR managers who understand how to group...

Two groups of rabbits were trained on a brightness discrimination task. A two-choice discrimination apparatus was used. By means of food reward one group of rabbits was trained to open the darkest gate, the other was trained to open the brightest gate. The second group learned significantly faster than the first one.

Musical priming research has reported that sensory consonance/dissonance judgements for a target chord were faster when targets were musically related to a musical prime context. The present study extended this context effect to a timbre discrimination task. This new task allowed us to investigate whether musical priming results from congruency effects similar to those reported in other domains...