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Margin-adaptive model selection in statistical learning

Margin-adaptive model selection in statistical learning

Sylvain Arlot
Peter L. Bartlett
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Papers citing "Margin-adaptive model selection in statistical learning"

3 / 3 papers shown
Title
Data-driven calibration of penalties for least-squares regression
Data-driven calibration of penalties for least-squares regression
Sylvain Arlot
P. Massart
136
159
0
06 Feb 2008
V-fold cross-validation improved: V-fold penalization
V-fold cross-validation improved: V-fold penalization
Sylvain Arlot
93
70
0
05 Feb 2008
Discussion of ``2004 IMS Medallion Lecture: Local Rademacher complexities and oracle inequalities in risk minimization'' by V. Koltchinskii
Discussion of ``2004 IMS Medallion Lecture: Local Rademacher complexities and oracle inequalities in risk minimization'' by V. Koltchinskii
Stéphan Clémenccon
Gábor Lugosi
Nicolas Vayatis
88
15
0
01 Aug 2007