sufficient dimension reduction

JMLR
2010

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Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation

12 years 11 months ago

The goal of sufficient dimension reduction in supervised learning is to find the lowdimensional subspace of input features that is `sufficient' for predicting output values. ...

Taiji Suzuki, Masashi Sugiyama

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ICML
2007
IEEE

137views Machine Learning» more ICML 2007»

Regression on manifolds using kernel dimension reduction

14 years 5 months ago

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We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...

Jens Nilsson, Fei Sha, Michael I. Jordan

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