Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
This paper addresses the problem of vision-based navigation and proposes an original control law to perform such navigation. The overall approach is based on an appearance-based r...
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Applications based on outsourcing computation require guarantees to the data owner that the desired computation has been performed correctly by the service provider. Methods based...
In this demo paper we present the prototype of our fault injection testbed generator. Our tool empowers engineers to generate emulated SOA environments and to program fault injecti...