We propose the hierarchical Dirichlet process (HDP), a nonparametric Bayesian model for clustering problems involving multiple groups of data. Each group of data is modeled with a...
Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, ...
The increasing power of modern computers steadily opens up new application domains for advanced data processing such as engineering and knowledge-based applications. To meet their...
In the Sesame framework, we develop a modeling and simulation environment for the efficient design space exploration of heterogeneous embedded systems. Since Sesame recognizes se...
Abstract. In this paper, we propose a verification methodology for System-OnChip (SoC) design using Unified Modeling Language (UML). We introduce UML as a formal model to analyze a...
Abstract. Mechanical ventilation can cause severe lung damage by inadequate adjustment of the ventilator. We introduce a Machine Learning approach to predict the pressure-dependent...