We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
-- Interactive multimedia technology and the world wide web play an increasingly central role in the work of cultural organizations especially when they begin to embark on creation...
Probabilistic inference was shown effective in non-deterministic diagnosis of end-to-end service failures. Since exact probabilistic diagnosis is known to be an NP-hard problem, a...
This paper was prepared for a lecture at a recent meeting of the German Chapter of ISKO devoted to Wissensorganisation mit Multimedialen Techniken [Knowledge Organization with Mul...
We propose a new approach for reinforcement learning in problems with continuous actions. Actions are sampled by means of a diffusion tree, which generates samples in the continuou...
Christian Vollmer, Erik Schaffernicht, Horst-Micha...