Open AccessInexact Accelerated Proximal Gradient Algorithms For Matrix l_{2,1}-Norm Minimization Problem in Multi-Task Feature Learning
Author(s) -
Yaping Hu,
Zengxin Wei,
Gonglin Yuan
Publication year - 2014
Publication title -
statistics, optimization and information computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.297
H-Index - 12
eISSN - 2311-004X
pISSN - 2310-5070
DOI - 10.19139/106
Subject(s) - hessian matrix , lipschitz continuity , eigenvalues and eigenvectors , matrix (chemical analysis) , norm (philosophy) , algorithm , minification , convergence (economics) , computer science , feature (linguistics) , mathematics , constant (computer programming) , mathematical optimization , mathematical analysis , linguistics , philosophy , physics , materials science , quantum mechanics , political science , law , economics , composite material , economic growth , programming language