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Linear regression / Partial least squares regression / Backfitting algorithm / Principal component analysis / Supervised learning / Least squares / Nonlinear regression / Ordinary least squares / Outline of regression analysis / Statistics / Regression analysis / Additive model


ARTICLE Communicated by Kechen Zhang Efficient Learning and Feature Selection in High-Dimensional Regression
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Document Date: 2010-02-06 00:59:42


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City

Kyoto / Edinburgh / Mountain View / /

Company

ATR Computational Neuroscience Laboratories / Google Inc. / /

Country

Jordan / United States / /

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Event

Reorganization / /

Facility

U.S.A. Sethu Vijayakumar sethu.vijayakumar@ed.ac.uk University of Edinburgh / University of Southern California / Massachusetts Institute of Technology / University of Edinburgh / /

IndustryTerm

nonprobabilistic regression algorithm / approximate solution / real-time applications / recent statistical learning algorithms / data mining / real-time situations / regression solution / real-time brain-machine interfaces / expectation-maximization algorithm / learning algorithms / /

Organization

University of Edinburgh / University of Southern California / Los Angeles / Massachusetts Institute of Technology / /

Person

K. Stefan Schaal / /

Position

Bishop / Graphical model for linear regression / representative / /

ProvinceOrState

Southern California / Massachusetts / California / /

Region

Southern California / /

Technology

neuroscience / 2009 Massachusetts Institute of Technology / expectation-maximization algorithm / data mining / nonprobabilistic regression algorithm / recent statistical learning algorithms / /

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