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Econometrics / Estimation theory / Parametric statistics / Linear regression / Dimension reduction / Principal component analysis / Partial least squares regression / Nonlinear dimensionality reduction / Nonlinear regression / Statistics / Regression analysis / Multivariate statistics


Neural Process Lett DOI[removed]s11063[removed]Local Dimensionality Reduction for Non-Parametric Regression Heiko Hoffmann · Stefan Schaal · Sethu Vijayakumar
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Document Date: 2009-03-02 14:19:36

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City

Angeles / Los Angeles / /

Company

Springer Science+Business Media LLC / /

Country

United States / /

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Facility

University of Southern California / University of Edinburgh / /

IndustryTerm

ordinary-least-squares solution / neural networks / real-world applications / widespread tool / data mining / generic and important statistical tool / signal processing / analytic solution / linear systems / incremental solution / Real-time applications / /

Organization

School of Informatics / University of Southern California / University of Edinburgh / /

Person

Stefan Schaal / Heiko Hoffmann / /

Position

candidate for adding projection directions on the fly / King / /

ProvinceOrState

Southern California / California / /

Region

Southern California / /

Technology

Neuroscience / data mining / machine learning / EM algorithm / iterative EM algorithm / /

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