Parallel and hybrid soft-thresholding algorithms with line search  for sparse nonlinear regression

Reference : Parallel and hybrid soft-thresholding algorithms with line search for sparse nonline...


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/35047

Title :	Parallel and hybrid soft-thresholding algorithms with line search for sparse nonlinear regression
Language :	English
Author, co-author :	Yang, Yang [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Pesavento, Marius []
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	Sep-2018
Main document title :	Proc. 26th European Signal Processing Conference
Peer reviewed :	Yes
Event name :	2018 26th European Signal Processing Conference (EUSIPCO)
Event date :	03-09-2018 to 07-09-2018
Permalink :	http://hdl.handle.net/10993/35047
Framework Programme / European Project :	H2020 ; 742648 - AGNOSTIC - Actively Enhanced Cognition based Framework for Design of Complex Systems

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	File	Commentary	Version	Size	Access
Open access	NonlinearReg_EUSIPCO2018.pdf		Author postprint	139.38 kB	View/Open

Additional material(s):

	File	Commentary	Size	Access
Open access	NonlinearRegression_EUSIPCO2018.7z	updated on Feb 27, 2018	2.97 kB	View/Open

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