110 citations · 110 across the 2 of their papers we have counts for
2 papers
cs.LG2014
Linear Contour Learning: A Method for Supervised Dimension Reduction
Bing Li, Hongyuan Zha, Francesca Chiaromonte
We propose a novel approach to sufficient dimension reduction in regression, based on estimating contour directions of negligible variation for the response surface. These directio…
math.ST2012★ 110 cited
Principal support vector machines for linear and nonlinear sufficient dimension reduction
Bing Li, Andreas Artemiou, Lexin Li
We introduce a principal support vector machine (PSVM) approach that can be used for both linear and nonlinear sufficient dimension reduction. The basic idea is to divide the respo…