Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
At UCLA's Plasma Physics Group, to achieve accessible computational power for our research goals, we developed the tools to build numerically-intensive parallel computing clus...
Powerful mobile devices with minimal I/O capabilities increase the likelihood that we will want to annex these devices to I/O resources we encounter in the local environment. This...
Shwetak N. Patel, Jeffrey S. Pierce, Gregory D. Ab...
With the increasing use of web services, many new challenges concerning data security are becoming critical. Data or applications can now be outsourced to powerful remote servers, ...