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Principal support vector machines for linear and nonlinear sufficient
  dimension reduction

Principal support vector machines for linear and nonlinear sufficient dimension reduction

13 March 2012
Bing Li
A. Artemiou
Lexin Li
ArXivPDFHTML

Papers citing "Principal support vector machines for linear and nonlinear sufficient dimension reduction"

5 / 5 papers shown
Title
Nonlinear Meta-Learning Can Guarantee Faster Rates
Nonlinear Meta-Learning Can Guarantee Faster Rates
Dimitri Meunier
Zhu Li
Arthur Gretton
Samory Kpotufe
121
7
0
20 Jul 2023
Kernel dimension reduction in regression
Kernel dimension reduction in regression
Kenji Fukumizu
Francis R. Bach
Michael I. Jordan
214
313
0
13 Aug 2009
Dimension reduction for nonelliptically distributed predictors
Dimension reduction for nonelliptically distributed predictors
Bing Li
Yuexiao Dong
84
114
0
24 Apr 2009
An RKHS formulation of the inverse regression dimension-reduction
  problem
An RKHS formulation of the inverse regression dimension-reduction problem
T. Hsing
Haobo Ren
96
53
0
01 Apr 2009
Asymptotics for sliced average variance estimation
Asymptotics for sliced average variance estimation
Yingxing Li
Li-Xing Zhu
137
86
0
03 Aug 2007
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