We study the problem of data propagation in sensor networks, comprised of a large number of very small and low-cost nodes, capable of sensing, communicating and computing. The dis...
Ioannis Chatzigiannakis, Tassos Dimitriou, Sotiris...
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more depe...
There is an increasing number of agent-oriented programming languages that have working interpreters and platforms, with significant progress in the quality of such platforms over...
Louise A. Dennis, Berndt Farwer, Rafael H. Bordini...
We describe a radically new cache architecture and demonstrate that it offers a huge reduction in cache cost, size and power consumption whilst maintaining performance on a wide ra...