The goals of this paper are twofold: we describe common features in data sets from motor vehicle insurance companies and we investigate a general strategy which exploits the knowledge of such features. The results of the strategy are a basis to develop insurance tariffs. The strategy is applied...

Smoothing methods, extensively used for solving mathematical programming problems and applications, are applied in this paper to approximate some optimization problems arising in the theory of generalized support vector machines. A nonlinear model, which generalizes some previous works, is...

The goals of this paper are twofold: we describe common features in data sets from motor vehicle insurance companies and we investigate a general strategy which exploits the knowledge of such features. The results of the strategy are a basis to develop insurance tariffs. The strategy is applied...