Abstract. While traditional approaches to machine learning are sensitive to highdimensional state and action spaces, this paper demonstrates how an indirectly encoded neurocontroll...
Abstract. We address the problem of runtime monitoring for hard realtime programs—a domain in which correctness is critical yet has largely been overlooked in the runtime monitor...
Lee Pike, Alwyn Goodloe, Robin Morisset, Sebastian...
Abstract-- We present a global scheduling framework for synchronous data flow (SDF) streaming applications on MPSoCs, based on optimized computation and contention-free routing. Th...
Abstract. We consider the problem of learning a user's ordinal preferences on a multiattribute domain, assuming that her preferences are lexicographic. We introduce a general ...
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...