Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
Abstract: This paper presents SMarty, a variability management approach for UMLbased software product lines (PL). SMarty is supported by a UML profile, the SMartyProfile, and a pro...
Edson Alves de Oliveira Junior, Itana Maria de Sou...
Abstract. Increasing integration densities and the emergence of nanotechnology cause issues related to reliability and power consumption to become dominant factors for the design o...
Tim Wegner, Claas Cornelius, Andreas Tockhorn, Dir...
In this paper we address the challenge of realizing full-body behaviors in scalable modular robots. We present an experimental study of a biologically inspired approach to organize...
David Johan Christensen, Jason Campbell, Kasper St...
We present an efficient implementation of the Modified SParse Approximate Inverse (MSPAI) preconditioner. MSPAI generalizes the class of preconditioners based on Frobenius norm mi...
Thomas Huckle, A. Kallischko, A. Roy, M. Sedlacek,...