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Learning Out of Leaders
v1v2 (latest)

Learning Out of Leaders

12 January 2010
Mathilde Mougeot
D. Picard
K. Tribouley
ArXiv (abs)PDFHTML

Papers citing "Learning Out of Leaders"

7 / 7 papers shown
Title
Learning Simple Thresholded Features with Sparse Support Recovery
Learning Simple Thresholded Features with Sparse Support Recovery
Hongyu Xu
Zinan Lin
Haichuan Yang
Ding Liu
Ji Liu
156
34
0
16 Apr 2018
Learning and approximation capability of orthogonal super greedy
  algorithm
Learning and approximation capability of orthogonal super greedy algorithmKnowledge-Based Systems (KBS), 2014
Jian Fang
Shaobo Lin
Zongben Xu
90
7
0
18 Sep 2014
Grouping Strategies and Thresholding for High Dimensional Linear Models
Grouping Strategies and Thresholding for High Dimensional Linear Models
Mathilde Mougeot
D. Picard
K. Tribouley
176
5
0
09 Jul 2012
Fast approximation of matrix coherence and statistical leverage
Fast approximation of matrix coherence and statistical leverageInternational Conference on Machine Learning (ICML), 2011
P. Drineas
M. Magdon-Ismail
Michael W. Mahoney
David P. Woodruff
349
559
0
18 Sep 2011
A new selection method for high-dimensionial instrumental setting:
  application to the Growth Rate convergence hypothesis
A new selection method for high-dimensionial instrumental setting: application to the Growth Rate convergence hypothesis
Mathilde Mougeot
D. Picard
K. Tribouley
166
2
0
21 Mar 2011
Sparse recovery with unknown variance: a LASSO-type approach
Sparse recovery with unknown variance: a LASSO-type approach
Stéphane Chrétien
Sébastien Darses
417
33
0
02 Jan 2011
UPS delivers optimal phase diagram in high-dimensional variable
  selection
UPS delivers optimal phase diagram in high-dimensional variable selection
Pengsheng Ji
Jiashun Jin
514
94
0
25 Oct 2010
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