Sliced inverse regression with conditional entropy minimization
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[1] Ker-Chau Li,et al. On Principal Hessian Directions for Data Visualization and Dimension Reduction: Another Application of Stein's Lemma , 1992 .
[2] E. Oja,et al. Independent Component Analysis , 2001 .
[3] A. Tsybakov,et al. Sliced Inverse Regression for Dimension Reduction - Comment , 1991 .
[4] Masashi Sugiyama,et al. Sufficient Dimension Reduction via Squared-Loss Mutual Information Estimation , 2010, Neural Computation.
[5] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[6] Alexander J. Smola,et al. Support Vector Regression Machines , 1996, NIPS.
[7] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[8] R. Cook. Regression Graphics , 1994 .
[9] Ker-Chau Li,et al. Sliced Inverse Regression for Dimension Reduction , 1991 .
[10] Michael I. Jordan,et al. Kernel dimension reduction in regression , 2009, 0908.1854.
[11] S. Weisberg,et al. Comments on "Sliced inverse regression for dimension reduction" by K. C. Li , 1991 .
[12] Jacob Goldberger,et al. ICA based on a Smooth Estimation of the Differential Entropy , 2008, NIPS.
[13] Hideitsu Hino,et al. A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning , 2010, Neural Computation.
[14] Luca Scrucca,et al. Model-based SIR for dimension reduction , 2011, Comput. Stat. Data Anal..