Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
The paper introduces a taxonomy of the possible coordination models for mobile agent applications and evaluates their impact in the design of a widely distributed application in t...
In this paper we propose a framework for decentralized model-based diagnosis of complex systems modeled with qualitative constraints and whose models are distributed among their s...
Unanticipated runtime events, such as faults, can lead to missed deadlines in real-time systems. While it is not always possible to know when a fault will occur, we can sometimes ...
The correct interplay among components in a distributed, reactive system is a crucial development task, particularly for embedded systems such as those in the automotive domain. M...