Purpose The purpose of this paper is twofold: the selection of project portfolios through hybrid artificial neural network algorithms, feature selection based on grey relational analysis, decision tree and regression; and the identification of the features affecting project portfolio selection...

At first glance, this paper deals with a simple classification issue only: the coverage and treatment of certain manufacturing operations and the resulting products under the General Agreement on Trade in Services (GATS) rather than under its long-standing counterpart in merchandise trade, the...

In this paper we present a new kernel, the Railway Kernel, that works properly for general (nonlinear) classification problems, with the interesting property that acts locally as a linear kernel. In this way, we avoid potential problems due to the use of a general purpose kernel, like the RBF...