— In general, existing model reduction techniques for stable nonlinear systems lack a guarantee on stability of the reduced-order model, as well as an error bound. In this paper,...
Bart Besselink, Nathan van de Wouw, Henk Nijmeijer
In this paper, we proposed a novel probabilistic generative model to deal with explicit multiple-topic documents: Parametric Dirichlet Mixture Model(PDMM). PDMM is an expansion of...
In software product line engineering, feature models enable to automate the generation of productspecific models in conjunction with domain “base models” (e.g. UML models). T...
Germain Saval, Jorge Pinna Puissant, Patrick Heyma...
In this study, the problem of updating a printer characterization in response to systematic changes in print-device characteristics is addressed with two distinct approaches: the ...
This paper extends previous work on the compilation of higher-order imperative languages into digital circuits [4]. We introduce concurrency, an essential feature in the context o...