Design and implementation of motion control applications includes the transition from control design to real-time system implementation. To make this transition smooth, the specif...
This paper introduces a new method for generating test data that combines the benefits of equivalence partitioning, boundary value analysis and cause-effect analysis. It is suitab...
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...
Bayesian parameter estimation can be used to generate statistically optimal solutions to the problem of cue integration. However, the complexity and dimensionality of these solutio...
Abstract. Business process models, often modelled using graphical languages like UML, serve as a base for communication between the stakeholders in the software development process...