We address the problem of instruction selection for Multi-Output Instructions (MOIs), producing more than one result. Such inherently parallel hardware instructions are very commo...
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
It is often possible to greatly improve the performance of a hardware system via the use of predictive (speculative) techniques. For example, the performance of out-of-order micro...
Alan Fern, Robert Givan, Babak Falsafi, T. N. Vija...
Partition testing is a well-known software testing technique. This paper shows that partition testing strategies are relatively ineffective in detecting faults related to small sh...