Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
Probabilistic Logic Programming is an active field of research, with many proposals for languages, semantics and reasoning algorithms. One such proposal, Logic Programming with A...
A pervasive system features a plethora of devices, services and applications organized as a large distributed system. One approach to managing such systems is by policies where ad...
Abstract. In human-like reasoning it often happens that different conditions, partially alternative and hierarchically structured, are mentally grouped in order to derive some conc...
Francesco Buccafurri, Gianluca Caminiti, Domenico ...
Disjunctive Logic Programming (DLP) is a very expressive formalism: it allows to express every property of finite structures that is decidable in the complexity class ¡£¢¤ (...
Tina Dell'Armi, Wolfgang Faber, Giuseppe Ielpa, Ni...