We study the problem of minimizing the expected loss of a linear predictor while constraining its sparsity, i.e., bounding the number of features used by the predictor. While the r...
Abstract We investigate the use of extracellular action potential (EAP) recordings for biophysically faithful compartmental models. We ask whether constraining a model to fit the ...
Design space exploration during high level synthesis is often conducted through ad-hoc probing of the solution space using some scheduling algorithm. This is not only time consumi...
Gang Wang, Wenrui Gong, Brian DeRenzi, Ryan Kastne...
Mobile devices are still memory-constrained when compared to desktop and laptop computers. Thus, in some circumstances, even while occupied by useful objects, some memory must be ...
— Power efficient operation is very critical in energy constrained multi-hop wireless networks. One important technique is to intelligently assign transmission powers to nodes w...