ML Anthology

Localized Sliced Inverse Regression

Qiang Wu, Sayan Mukherjee, Feng Liang
NeurIPS 2008 pp. 1785-1792
/neurips/2008/wu2008neurips-localized/

Abstract

We developed localized sliced inverse regression for supervised dimension reduction. It has the advantages of preventing degeneracy, increasing estimation accuracy, and automatic subclass discovery in classification problems. A semisupervised version is proposed for the use of unlabeled data. The utility is illustrated on simulated as well as real data sets.

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Cite

Text

Wu et al. "Localized Sliced Inverse Regression." Neural Information Processing Systems, 2008.

Markdown

[Wu et al. "Localized Sliced Inverse Regression." Neural Information Processing Systems, 2008.](https://mlanthology.org/neurips/2008/wu2008neurips-localized/)

BibTeX

@inproceedings{wu2008neurips-localized,
  title     = {{Localized Sliced Inverse Regression}},
  author    = {Wu, Qiang and Mukherjee, Sayan and Liang, Feng},
  booktitle = {Neural Information Processing Systems},
  year      = {2008},
  pages     = {1785-1792},
  url       = {https://mlanthology.org/neurips/2008/wu2008neurips-localized/}
}