Back to Results
First PageMeta Content
Operations research / Convex optimization / Convex analysis / Mathematical optimization / Vector space / Lp space / Linear programming / Algebra / Mathematics / Linear algebra


Polar Operators for Structured Sparse Estimation Xinhua Zhang Machine Learning Research Group National ICT Australia and ANU
Add to Reading List

Document Date: 2013-11-09 21:13:55


Open Document

File Size: 697,09 KB

Share Result on Facebook

City

Cambridge / /

Company

Princeton University Press / SIAM Journal / New England Journal / normalized LP / John Wiley & Sons / /

/

Facility

University of Alberta Edmonton / /

IndustryTerm

iterative shrinkage-thresholding algorithm / sparse solutions / local search / polar operator / final solution / root finding search / gene network / closed form solution / hybrid algorithm / dense solutions / tailored network flow algorithms / computing / signal processing / integral solution / /

OperatingSystem

XP / /

Organization

Royal Statistical Society / Princeton University / National Academy of Sciences / Dale Schuurmans Department of Computing Science / University of Alberta Edmonton / /

Person

Dale Schuurmans / M. Van De Vijver / Alberta Edmonton / /

Position

hb / Prime Minister / fused lasso latent feature model for analyzing multi-sample aCGH data / linear cost function Mp / Mp / s.t. hb / w/ hb / /

PublishedMedium

Proceedings of the National Academy of Sciences / Journal of the Royal Statistical Society / Machine Learning / The New England Journal of Medicine / Molecular Systems Biology / /

Region

New England / /

Technology

three algorithms / tailored network flow algorithms / 2.1 Optimization Algorithms / hybrid algorithm / GCG algorithm / iterative shrinkage-thresholding algorithm / Data Mining / dom / Machine Learning / 3 2 Algorithm / Two algorithms / /

URL

http /

SocialTag