Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Background: Modeling of metabolic networks includes tasks such as network assembly, network overview, calculation of metabolic fluxes and testing the robustness of the network. Re...
Roland Schwarz, Chunguang Liang, Christoph Kaleta,...
Key predistribution has been claimed to be the only viable approach for establishing shared keys between neighboring sensors after deployment for a typical sensor network. However,...
We present a grid-enabled problem solving environment (PSE), for multidimensional QTL analysis. The concept of a computational grid has not been fully realized within this and oth...
Mahen Jayawardena, Carl Nettelblad, Salman Zubair ...
Monitoring global states of an application deployed over distributed nodes becomes prevalent in today's datacenters. State monitoring requires not only correct monitoring resu...