Model checking is a powerful automated technique mainly used for the verification of properties of reactive systems. In practice, model checkers are limited due to the state explos...
Frequent itemset mining was initially proposed and has been studied extensively in the context of association rule mining. In recent years, several studies have also extended its a...
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
In this paper, we discuss recent work on buffer sizing in the context of an ISP's need to offer and guarantee competitive Service Level Agreements (SLAs) to its customers. Si...
Joel Sommers, Paul Barford, Albert G. Greenberg, W...
Abstract. This paper shows how a formal method in the form of Coloured Petri Nets (CPNs) and the supporting CPN Tools have been used in the development of the Course of Action Sche...
Lars Michael Kristensen, Peter Mechlenborg, Lin Zh...