This paper addresses the problem of variable ranking for Support Vector Regression. The relevance criteria that we proposed are based on leave-one-out bounds and some variants and...
This paper studies a method for the identification of Hammerstein models based on Least Squares Support Vector Machines (LS-SVMs). The technique allows for the determination of th...
Ivan Goethals, Kristiaan Pelckmans, Johan A. K. Su...
In this paper, we present a fully automatizable approach to detecting loops in standard term rewriting. Our method is based on semi-unification and an unfolding operation which pr...
The problem of predicting a sequence x ; x ; . . . generated by a discrete source with unknown statistics is considered. Each letter x is predicted using the information on the wor...
Given a set of data points as measurements from a developable surface, the present paper investigates the recognition and reconstruction of these objects. We investigate the set o...