Abstract--One important bottleneck when visualizing large data sets is the data transfer between processor and memory. Cacheaware (CA) and cache-oblivious (CO) algorithms take into...
1 Scheduling resources on Grids is a well-known problem. The extension of Grids to LambdaGrids requires scheduling of lambdas, i.e., end-to-end high-speed circuits. In this paper, ...
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
The paper describes the EmPath tool that was designed to emulate packet transfer characteristics as delays and losses in IP network. The main innovation of this tool is its ability...