In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Abstract. The many approaches which have been proposed in the literature for proving the correctness of unfold/fold program transformations, consist in associating suitable well-fo...
Alberto Pettorossi, Maurizio Proietti, Valerio Sen...
ABSTRACT - This paper presents a new design flow, FPDSiMPA, and a set of techniques for synthesizing high-performance sub-half micron logic circuits. FPD-SiMPA consists of logic p...
CFT is a new constraint system providing records as logical data structure for constraint (logic) programming. It can be seen as a generalization of the rational tree system emplo...