Abstract. The rapid advances in the computer industry allow building larger systems that require mass storage volumes. As storage space increases, its management becomes increasing...
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
A scalable approach to trust negotiation is required in Web service environments that have large and dynamic requester populations. We introduce Trust-Serv, a model-driven trust n...
Abstract— The switch architecture with the combined inputcrosspoint queueing (CICQ) scheme has been recognized as a practical promising solution for building cost-effective highp...
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...