Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Traditional Public Key Infrastructures (PKI) have not lived up to their promise because there are too many ways to define PKIs, too many cryptographic primitives to build them wi...
Chris Lesniewski-Laas, Bryan Ford, Jacob Strauss, ...
In this paper we experimentally analyse various dynamic timeout adjustment strategies in server queues as potential counter-measures against degradation of service attacks. Previo...
Problems resulting from the management of shared, distributed knowledge has led to ontologies being employed as a solution, in order to effectively integrate information across a...
We present a research effort into the application of semantic web methods and technologies to address the challenging problem of integrating heterogeneous volcanic and atmospheri...
Peter Fox, Deborah L. McGuinness, Robert Raskin, A...