Trace-driven simulation is an important technique used in the evaluation of computer architecture innovations. However using it for studying parallel computers and applications is...
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
State Machines Capture Parallel Algorithms: Correction and Extension ANDREAS BLASS University of Michigan and YURI GUREVICH Microsoft Research We consider parallel algorithms worki...
Abstract. In this paper we approach feature set selection phase in signature verification by applying the method for selection of regression variables based on Mallows Cp criterio...