Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
In a distributed system with N processes, time stamps of size N (such as vector clocks) are necessary to accurately track potential causality between events. Plausible clocks are a...
We describe a layered approach to access control for distributed and interoperable computing systems. Firstly, compound access control policies are conceptually specified, using ...
Clustering is one of the most important analysis tasks in spatial databases. We study the problem of clustering objects, which lie on edges of a large weighted spatial network. Th...
Abstract. The paper focuses on the efficiency of the hybrid evolutionary algorithm (HEA) for solving the global optimization problem arising in electronic imaging. The particular v...