We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
In the future, if we are to continue to expect improved application performance we will have to achieve it by exploiting course-grained hardware parallelism rather then simply rel...
Most symbolic classifiers aim at building sets of rules with good coverage and precision. While this is suitable for most applications, they tend to neglect other desirable proper...
Rafael Giusti, Gustavo E. A. P. A. Batista, Ronald...
— Various mechanisms for fault-tolerance (FT) are used today in order to reduce the impact of failures on application execution. In the case of system failure, standard FT mechan...
- Mobile agents have the ability to migrate through heterogeneous networks and execute at remote hosts. This ability can be exploited to improve the performance of agent based appl...