In many pattern recognition/classification problem the true class conditional model and class probabilities are approximated for reasons of reducing complexity and/or of statistic...
Under low illumination conditions, such as moonlight, there simply are not enough photons present to create a high quality color image with integration times that avoid camera-sha...
We investigate the problem of detecting termination of a distributed computation in an asynchronous message-passing system where processes may crash and recover. We show that it is...
Felix C. Freiling, Matthias Majuntke, Neeraj Mitta...
We investigate three parameterized algorithmic schemes for graphical models that can accommodate trade-offs between time and space: 1) AND/OR Adaptive Caching (AOC(i)); 2) Variabl...
Abstract. This paper presents a technique with which instances of argument structures in the Carneades model can be given a probabilistic semantics by translating them into Bayesia...
Matthias Grabmair, Thomas F. Gordon, Douglas Walto...