A problem that is inherent to the development and efficient use of solvers is that of tuning parameters. The CP community has a long history of addressing this task automatically. ...
In this paper we present SPR, a new architecture-adaptive mapping tool for use with Coarse-Grained Reconfigurable Architectures (CGRAs). It combines a VLIW style scheduler and FP...
Stephen Friedman, Allan Carroll, Brian Van Essen, ...
Anticipatory algorithms for online stochastic optimization have been shown very effective in a variety of areas, including logistics, reservation systems, and scheduling. For such ...
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Abstract— We consider spatially multiplexed MIMO transmission in the presence of co-channel interference with subset transmit antenna selection. Several algorithms for antenna se...