In this paper we present an approach, based on data ow analysis, that can provide cost-e ective analysis of concurrent programs with respect to explicitly stated correctness prope...
Many Ubiquitous computing applications can be considered as planning and acting problems in environments characterised by uncertainty and partial observability. Such systems rely ...
Mining frequent patterns is a major topic in data mining research, resulting in many seminal papers and algorithms on item set and episode discovery. The combination of these, call...
In this paper, we develop a new "robust mixing" framework for reasoning about adversarially modified Markov Chains (AMMC). Let P be the transition matrix of an irreducib...
Polyhedral analysis [9] is an abstract interpretation used for automatic discovery of invariant linear inequalities among numerical varia program. Convexity of this abstract domain...