Systems of ordinary differential equations (ODEs) are often used to model the dynamics of complex biological pathways. We construct a discrete state model as a probabilistic appro...
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
A modelling procedure consists of a sequence of modelling tasks. With the increasing size of models during the development, the relations among modelling objects and their correspo...
Yuan Ren, Jens Lemcke, Andreas Friesen, Tirdad Rah...
—Gel is a hardware description language that enables quick scripting of high level designs and can be easily extended to new design patterns. It is expression oriented and extrem...
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signiï¬...