Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
Real-world data -- especially when generated by distributed measurement infrastructures such as sensor networks -- tends to be incomplete, imprecise, and erroneous, making it impo...
Abstract. Though ontologies are widely used to solve some specific interoperability problems, there is no specific ontology defining what interoperability actually is, independentl...
Yannick Naudet, Thibaud Latour, Kevin Hausmann, Sv...
In previous work [8] a computational framework was demonstrated that allows a mobile robot to autonomously evolve models its own body for the purposes of adaptive behavior generat...
We propose a methodology for hypermedia design which is based on a UML profile for the hypermedia domain. Starting with a use case analysis and a conceptual model of the applicatio...