Pervasive Computing envisions distributed applications that optimally leverage the resources present in their ever-changing execution environment. To ease the development of perva...
Marcus Handte, Klaus Herrmann, Gregor Schiele, Chr...
In this paper, we discuss a library generator for parallel sorting routines that examines the input characteristics (and the parameters they affect) to select the best performing ...
Brian A. Garber, Daniel Hoeflinger, Xiaoming Li, M...
The least-absolute shrinkage and selection operator (Lasso) is a popular tool for joint estimation and continuous variable selection, especially well-suited for the under-determin...
Datacenter networks typically have many paths connecting each host pair to achieve high bisection bandwidth for arbitrary communication patterns. Fully utilizing the bisection ban...
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...