Dataflow models are often used for analysing streaming applications. The recently introduced scenario-aware extension of the synchronous dataflow model can capture the dynamism ...
We consider two stochastic process methods for performing canonical correlation analysis (CCA). The first uses a Gaussian Process formulation of regression in which we use the cur...
Abstract. We investigate a nonparametric model with which to visualize the relationship between two datasets. We base our model on Gaussian Process Latent Variable Models (GPLVM)[1...
— In this paper, a new method is proposed to evaluate the reliability of stochastic mechanical systems. This technique is based on the combination of the probabilistic transforma...
In this paper, we motivate four di erent user de ned window query classes and derive a probabilistic model for each of them. For each model, we characterize the e ciency of spatia...
Bernd-Uwe Pagel, Hans-Werner Six, Heinrich Toben, ...