A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
We describe the design and implementation of a system for logic-based multimedia retrieval. As highlevel logic for retrieval of hypermedia documents, we have developed a probabilis...
The RV system is the first system to merge the benefits of Runtime Monitoring with Predictive Analysis. The Runtime Monitoring portion of RV is based on the successful Monitoring O...
Many researchers have observed that neurons process information in an imprecise manner - if a logical inference emerges from neural computation, it is inexact at best. Thus, there...
Effective systems for expressive description logics require a heavily-optimised subsumption checker incorporating a range of optimisation techniques. Because of the correspondence...