Luigi Bruzzone

Learn More
In this paper we present a novel fuzzy input-fuzzy output support vector machine (F<sup>2</sup>-SVM) classifier, which is able to process fuzzy information given as input to the classification algorithm and to produce fuzzy classification outputs. The main novelties of the proposed F<sup>2</sup>-SVM consist of: i) simultaneous and proper management of both(More)
  • 1