We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...
Timing budgeting under process variations is an important step in a statistical optimization flow. We propose a novel formulation of the problem where budgets are statistical ins...
Building common ontologies, setting up measurement programs, and conducting interviews are valid techniques to start eliciting knowledge and experience for later reuse. However, th...
: As Peer Data Management Systems (PDMS) are a focus of current research, there are lots of approaches like query processing or routing issues that have to be evaluated. Since ther...
Katja Hose, Christian Lemke, Jana Quasebarth, Kai-...
In the context of knowledge-intensive work, making the relevant knowledge available to the people needing it for their work is a key issue. One approach is to capture such knowled...