Our research addresses the efficient transfer of large data across wide-area networks, focusing on applications like remote visualization and real-time collaboration. To attain h...
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Recent work in low-latency, high-bandwidth communication systems has resulted in building user–level Network InControllers (NICs) and communication abstractions that support dir...
In recent years, theChaos Project at theUniversityofWashingtonhas analyzed and simulated a dozen routing algorithms. Three new routing algorithms have been invented; of these, the...
Neil R. McKenzie, Kevin Bolding, Carl Ebeling, Law...