Recent advances in large-scale ensemble recordings allow monitoring of activity patterns of several hundreds of neurons in freely behaving animals. The emergence of such high-dimensional datasets poses challenges for the identification and analysis of dynamical network patterns. While several types of multivariate statistical methods have been used for integrating responses from multiple neuron...

We determine market segments by clustering households on the basis of their average choice elasticities across purchases and brands w.r.t. price, sales promotion and brand loyalty. The cluster analysis technique used is a maximum likelihood method which allows varying size and orientation and assumes constant volume. Elasticities originate from choice models with alternatively linear and nonlin...

Discriminant validity is a valuable property of psychological scales that is usually investigated in the framework of the multitrait-multimethod approach. The establishment of discriminant validity demands the demonstration that the scale of interest representing a specific construct is unrelated to scales representing other constructs. The original implementation of the multitrait-multimethod ...

Sparsity-inducing multiple kernel Fisher discriminant analysis (MK-FDA) has been studied in the literature. Building on recent advances in non-sparse multiple kernel learning (MKL), we propose a non-sparse version of MK-FDA, which imposes a general lp norm regularisation on the kernel weights. We formulate the associated optimisation problem as a semi-infinite program (SIP), and adapt an iterat...

Optimum reduction of the number of dimensions of the feature vector in biometric verification requires a figure of merit for the verification performance. We show that, under certain conditions, various figures of merit can be approximated by the same expression. We select one, the discrimination distance, as an objective function for dimension reduction. This new method for dimension reduction...

In the last three decades forecasting bankruptcy of enterprises has been an important and difficult problem, used as an impulse for many research projects (Ribeiro et al. 2012). At present many methods of bankruptcy prediction are available. In view of the specific character of economic activity in individual sectors, specialised methods adapted to a given branch of industry are being used incr...

Two benthic mollusc assemblages of the continental shelf on both sides of the Atlantic Ocean, a tropical one in Rio de Janeiro, Brazil, and another, temperate, in Galicia, Spain were investigated, with a view to finding common environmental descriptors which would explain, on a macro-scale, why these assemblages are there. Both of the assemblages concerned show approximately the same species ri...

Peinado AB, Benito PJ, Díaz V, González C, Zapico AG, Álvarez M, Maffulli N, Calderón FJ. Discriminant analysis of the speciality of elite cyclists. J. Hum. Sport Exerc. Vol. 6, No. 3, pp. 480-489, 2011. The different demands of competition coupled with the morphological and physiological characteristics of cyclists have led to the appearance of cycling specialities. The aims of this study were...

Few studies exist on the topic of emotion encoding in speech in the articulatory domain. In this report, we analyze articulatory data collected during simulated emotional speech production and investigate differences in speech articulation among four emotion types; neutral, anger, sadness and happiness. The movement data of the tongue tip, the jaw and the lower lip, along with speech, were obta...