Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integratio...
Bulk data movement occurs commonly in server workloads and their performance is rather poor on today’s microprocessors. We propose the use of small dedicated copy engines, and p...
Li Zhao, Ravi R. Iyer, Srihari Makineni, Laxmi N. ...
—The IETF working group Next Steps in Signaling (NSIS) develops signaling protocols for Quality-of-Service (QoS) reservations or dynamic NAT and firewall (NAT/FW) configuration...
In this paper a learning based local search approach for propositional satisfiability is presented. It is based on an original adaptation of the conflict driven clause learning ...
Gilles Audemard, Jean-Marie Lagniez, Bertrand Mazu...
Abstract—Querying non-conventional data sources is recognized as a major issue in new environments and applications such as those occurring in pervasive computing. A key issue is...