Performance prediction and measurement approaches for component-based software systems help software architects to evaluate their systems based on component performance specificat...
A meaningful affinity measure between pixels is essential for many computer vision and image processing applications. We propose an algorithm that works in the features' hist...
This paper examines, by argument, the dynamics of sequences of behavioural choices made, when non-cooperative restricted-memory agents learn in partially observable stochastic gam...
— This paper addresses model reduction for a Markov chain on a large state space. A simulation-based framework is introduced to perform state aggregation of the Markov chain base...
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...