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Penalized regression models such as the lasso have been extensively applied to analyzing high-dimensional data sets.
“Regression Shrinkage and Selection via the Lasso.”
Tibshirani R (1996) · 1996
Earlier work this paper cites.
Understanding the Linux kernel
Bovet DP, Cesati M (2005) · 2005
Earlier work this paper cites.
“RLS-weighted Lasso for adaptive estimation of sparse signals.”
Angelosante D, Giannakis GB (2009) · 2009
Earlier work this paper cites.
“Robust face recognition via sparse representation.”
Wright J, Yang AY, Ganesh A, Sastry SS, Ma Y (2009) · 2009
Earlier work this paper cites.
“Regularization paths for generalized linear models via coordinate descent.”
Friedman J, Hastie T, Tibshirani R (2010) · 2010
Earlier work this paper cites.
“A critical performance study of memory mapping on multi-core processors: An experiment with k-means algorithm with large data mining data sets.”
Rao ST, Prasad E, Venkateswarlu N (2010) · 2010
Earlier work this paper cites.
“Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection.”
Breheny P, Huang J (2011) · 2011
Cited alongside, same era.
“Strong rules for discarding predictors in lasso-type problems.”
Tibshirani R, Bien J, Friedman J, Hastie T, Simon N, Taylor J, Tibshirani RJ (2012) · 2012
Cited alongside, same era.
“Scalable strategies for computing with massive data.”
Kane MJ, Emerson J, Weston S (2013) · 2013
Cited alongside, same era.
“UCI Machine Learning Repository.”
Lichman M (2013) · 2013
Cited alongside, same era.
“Challenges of big data analysis.”
Fan J, Han F, Liu H (2014) · 2014
Cited alongside, same era.
“Mmap: Fast billion-scale graph computation on a pc via memory mapping.”
Lin Z, Kahng M, Sabrin KM, Chau DHP, Lee H, Kang U (2014) · 2014
Cited alongside, same era.
“A safe screening rule for sparse logistic regression.”
Wang J, Zhou J, Liu J, Wonka P, Ye J (2014) · 2014
Later among the works it cites.
“Relevance feature discovery for text mining.”
Li Y, Algarni A, Albathan M, Shen Y, Bijaksana MA (2015) · 2015
Later among the works it cites.
“Lasso Screening Rules via Dual Polytope Projection.”
Wang J, Wonka P, Ye J (2015) · 2015
Later among the works it cites.
“Efficient Feature Screening for Lasso-Type Problems via Hybrid Safe-Strong Rules.”
Zeng Y, Yang T, Breheny P (2017) · 2017
Closest in time.
“Linear regression and two-class classification with gene expression data.”
Huang X, Pan W (2003) · 2078
Closest in time.
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