Jake Elmstedt is an author at George Washington University specializing in computer science, parallel programming, and knowledge discovery.
Top concepts
Big DataStatisticsData MiningEngineeringData ScienceComputer ScienceCluster ComputingParallel ComputingKnowledge DiscoveryParallel Programming
Publications per year
2021–2021
1
1
Orthogonal subsampling for big data linear regression
Lin Wang, Jake Elmstedt, Weng Kee Wong et al. · The Annals of Applied Statistics · 2021 · 39 citations
Rows per page
1–1 of 1