The current meta-analysis of the selection validity of assessment centres aims to update an earlier meta-analysis of assessment centre validity. To this end, we retrieved 26 studies and 27 validity coefficients (N1⁄4 5850) relating the Overall Assessment Rating (OAR) to supervisory performance ratings. The current study obtained a corrected correlation of .28 between the OAR and supervisory job...

the objective of this study was to investigate the effect of principal components (pc) of the regression coefficients (co)variance matrix on the lactation curve, and on the formation of selection index to modify the curve, based on these pc’s, and as well to estimate additive genetic and phenotypic variances and heritability of the constructed selection index. lactation period of 301 d (5-305) ...

Abstract: This paper presents a design method of 2-dimensional (2-D) FIR filters by successive projection (SP) method using multiple extreme frequency points based on Fritz John’s theorem. The proposed method enables an update of coefficients using multiple extreme frequency points by Fritz John’s theorem. Moreover, we also present two methods as how to choose the extreme frequency point for th...

Evolutionary biologists have an array of powerful theoretical techniques that can accurately predict changes in the genetic composition of populations. Changes in gene frequencies and genetic associations between loci can be tracked as they respond to a wide variety of evolutionary forces. However, it is often less clear how to decompose these various forces into components that accurately refl...

Evolution Strategies (ES) are a class of Evolutionary Algorithms based on Gaussian mutation and deterministic selection. Gaussian mutation captures pair-wise dependencies between the variables through a covariance matrix. Covariance Matrix Adaptation (CMA) is a method to update this covariance matrix. In this paper, the CMA-ES, which has found many applications in solving continuous optimizatio...

In this paper, we extend the set-membership (SM) adaptive filtering approach to the various affine projection (AP) adaptive filter algorithms to propose the computationally efficient algorithms. Based on this, the SM-APA, SM selective regressor APA (SM-SR-APA), SM dynamic selection APA (SM-DS-APA) and SM selective partial update APA (SM-SPU-APA) are established. The SM-SR-APA reduces complexity...

Cancer classification and feature (gene) selection plays an important role in knowledge discovery in genomic data. Although logistic regression is one of the most popular classification methods, it does not induce feature selection. In this paper, we presented a new hybrid L1/2 +2 regularization (HLR) function, a linear combination of L1/2 and L2 penalties, to select the relevant gene in the lo...