We propose a method for fine grain QoS control of real-time applications. The method allows adapting the overall system behavior by adequately setting the quality level parameter...
Jacques Combaz, Jean-Claude Fernandez, Thierry Lep...
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
This paper addresses the evolution of control strategies for a collective: a set of entities that collectively strives to maximize a global evaluation function that rates the perf...
We present a new multiagent learning algorithm, RVσ(t), that builds on an earlier version, ReDVaLeR . ReDVaLeR could guarantee (a) convergence to best response against stationary ...
We have designed an interactive visualization framework for the automated trust negotiation (ATN) protocol and we have implemented a prototype of the visualizer in Java. This fram...
Danfeng Yao, Michael Shin, Roberto Tamassia, Willi...