We present a variant of the linear logical framework LLF that avoids the restriction l-typed terms be in pre-canonical form and adds -abstraction at the level of families. We aban...
Abstract. For discrete-time linear systems over a principal ideal domain, three types of (C, A)invariance can be distinguished. Connections between these notions are investigated. ...
Abstract. A resource selection probability function is a function that gives the probability that a resource unit (e.g., a plot of land) that is described by a set of habitat varia...
Discovery of a network topology is a challenging task. Available algorithms that rely on simple hop-limited, traceroute-style probes give different performance in terms of the com...
Abstract. Boosting methods are known to improve generalization performances of learning algorithms reducing both bias and variance or enlarging the margin of the resulting multi-cl...
Francesco Masulli, Matteo Pardo, Giorgio Sbervegli...