We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
Abstract. The concept of unreliable failure detectors for reliable distributed systems was introduced by Chandra and Toueg as a fine-grained means to add weak forms of synchrony i...
Object representation and reasoning in vector based geographic information systems (GIS) is based on Euclidean geometry. Euclidean geometry is built upon Euclid's first postu...
As processor architectures have increased their reliance on speculative execution to improve performance, the importance of accurate prediction of what to execute speculatively ha...
: In many application areas like e-science and data-warehousing detailed information about the origin of data is required. This kind of information is often referred to as data pro...