We introduce a model of uncertainty where documents are not uniquely identified in a reference network, and some links may be incorrect. It generalizes the probabilistic approach ...
Many successful applications have proven the potential of Learning Classifier Systems and the XCS classifier system in particular in datamining, reinforcement learning, and func...
Patrick O. Stalph, Martin V. Butz, David E. Goldbe...
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
—The aim of this paper is to enable a programmer to easily employ external sensors for flexible robot manipulation. We describe a general approach to determine the relation betwe...
So far, lots of prediction structures have been proposed to exploit the temporal and inter-view redundancy of multi-view video. However, none of them can adapt themselves to diffe...