Machine learning techniques are gaining prevalence in the production of a wide range of classifiers for complex real-world applications with nonuniform testing and misclassificati...
Abstract. Temporal Constraint Satisfaction is an information technology useful for representing and answering queries about the times of events and the temporal relations between t...
: The performance of feasibility tests is crucial in many applications. When using feasibility tests online only a limited amount of analysis time is available. Run-time efficiency...
In a real-time system, tasks are constrained by global endto-end (E-T-E) deadlines. In order to cater for high task schedulability, these deadlines must be distributed over compon...
Abstract. This paper develops a highly expressive semantic framework for program refinement that supports both temporal reasoning and reasoning about the knowledge of a single agen...