We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
Abstract Communities of autonomous units are devices for the visual modeling of interactive logistic processes. The framework is founded on rule-based graph transformation and allo...
— We describe a model-driven translation approach between Semantic Web Service based business process models in the context of the SUPER project. In SUPER we provide a set of bus...
Abstract. Modeling and managing business processes that span multiple organizations involves new challenges, mainly regarding the ability to cope with change, decentralization, and...
Over the last few years, Real-Time Calculus has been used extensively to model and analyze embedded systems processing continuous data/event streams. Towards this, bounds on the a...
Anne Bouillard, Linh T. X. Phan, Samarjit Chakrabo...