We propose multivariate classification as a statistical tool to describe business cycles. These cycles are often … economic variables. Multivariate classification overcomes these limitations by reducing dimension in a way suitable for human … potential of classification methods by determining the important economic variables (stylized facts) for the German business …

We propose multivariate classification as a statistical tool to describe business cycles. These cycles are often … economic variables. Multivariate classification overcomes these limitations by reducing dimension in a way suitable for human … potential of classification methods by determining the important economic variables (stylized facts) for the German business …

We propose a computer intensive method for linear dimension reduction which minimizes the classification error directly … optimal classification to classical discriminant analysis (McLachlan 1992). Special emphasis is put on the case when …

In the context of binary classification with continuous predictors, we proove two properties concerning the connections …

Classification problems involving a categorical class label Y and a functional predictor X(t) are becoming increasingly … Classification” (FAC), specifically designed for functional classification problems. FAC uses certain complexity constraints to … to other potential approaches in terms of both classification accuracy and model interpretability. …

This note is a comment on the article "Dimension Reduction for Classification with Gene Expression Microarray Data …

We propose a computer intensive method for linear dimension reduction which minimizes the classification error directly … optimal classification to classical discriminant analysis (McLachlan 1992). Special emphasis is put on the case when …

technique that performs classification using PSO. An initial discussion is carried out describing PSO as a classifier. Three …