This paper investigates the effects of demand risk on the performance of supply chain in continuous time setting. The inventory level has been modeled as a jump-diffusion process ...
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
We consider the problem of selecting the best among several heavy-tailed systems using a large deviations perspective. In contrast to the light-tailed setting studied by Glynn and...
Abstract. This paper describes a web-based CBR application competing at the first Computer Cooking Contest at the ECCBR 2008. It describes the technical realisation of our system, ...
Alexandre Hanft, Norman Ihle, Kerstin Bach, R&eacu...
Although the Semantic Web vision is gaining momentum and the underlying technologies are used in many different areas, there still seems to be no agreement on how they should be us...
Florian Schmedding, Christoph Hanke, Thomas Hornun...