In this paper we describe BR-4, a computational model of scienti c discovery in particle physics. The system incorporates operators for determining quantum values of known particle...
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
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...
As data management applications grow more complex, they may need efficient distributed query processing, but also subscription management, data archival etc. To enact such applicat...
High assurance security is di cult to achieve in distributed computer systems and databases because of their complexity, non-determinism and inherent heterogeneity. The practical ...