Random forest is a collection (ensemble) of decision trees. It is a popular ensemble technique in pattern recognition. In this article, we apply random forest for cancer classifica...
We describe a general-purpose processor architecture for accelerating public-key computations on server systems that demand high performance and flexibility to accommodate large n...
Hans Eberle, Nils Gura, Sheueling Chang Shantz, Vi...
We present a mechanism for collaboration and coordination amongst agents in multi-agent societies seeking social equity. This mechanism allows to compute egalitarian allocations of...
Partitioning fragment shaders into multiple rendering passes is an effective technique for virtualizing shading resource limits in graphics hardware. The Recursive Dominator Split...
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...