Burges Dimension Reduction A Guided Tour

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DRAFT - Home Page Harvard John A. Paulson School of ...

https://www.seas.harvard.edu/courses/cs281/papers/burges-2009.pdf

Dimension Reduction: A Guided TourDRAFT Christopher J.C. Burges1 1 Microsoft Research, One Microsoft Way, Redmond, WA 98052-6399, USA. MSR Tech Report MSR-TR-2009-2013 Abstract We give a tutorial overview of several geometric methods for dimension

Dimension Reduction: A Guided Tour

https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/FnT_dimensionReduction.pdf

c 2010 C. J. C. Burges DOI: 10.1561/2200000002 Dimension Reduction: A Guided Tour Christopher J. C. Burges Microsoft Research, One Microsoft Way, Redmond, WA 98052-6399, USA, [email protected] Abstract We give a tutorial overview of several foundational methods for dimen-sion reduction. We divide the methods into projective methods andCited by: 251

Dimension Reduction: A Guided Tour (Foundations and Trends ...

https://www.amazon.com/Dimension-Reduction-Foundations-Machine-Learning/dp/1601983786

Jul 20, 2010 · Dimension Reduction: A Guided Tour covers many well-known, and some less well-known, methods for dimension reduction for which the inferred variables are continuous. It describes the mathematics and key ideas underlying the methods, and provides some links to the literature for those interested in pursuing a topic further.Cited by: 251

now publishers - Dimension Reduction: A Guided Tour

https://www.nowpublishers.com/article/Details/MAL-002

Dimension Reduction: A Guided Tour covers many well-known, and some less well-known, methods for dimension reduction for which the inferred variables are continuous. It describes the mathematics and key ideas underlying the methods, and provides some links to the literature for those interested in pursuing a topic further.Cited by: 251

CiteSeerX — Dimension Reduction: A Guided Tour

http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.180.861

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We give a tutorial overview of several foundational methods for dimension reduction. We divide the methods into projective methods and methods that model the manifold on which the data lies. For projective methods, we review projection pursuit, principal component analysis (PCA), kernel PCA, probabilistic PCA ...

(PDF) Dimension Reduction: A Guided Tour

https://www.researchgate.net/publication/220416606_Dimension_Reduction_A_Guided_Tour

Dimension Reduction: A Guided Tour. Article ... PCA is a classical orthogonal dimension reduction method (Burges, 2010) to reduce the dimension from multi-spectral time series. PCA is known as a ...

Dimension Reduction: A Guided Tour

https://www.nowpublishers.com/article/DownloadSummary/MAL-002

c 2010 C. J. C. Burges DOI: 10.1561/2200000002 Dimension Reduction: A Guided Tour Christopher J. C. Burges Microsoft Research, One Microsoft Way, Redmond, WA 98052-6399, USA, [email protected] Abstract We give a tutorial overview of several foundational methods for dimen-sion reduction. We divide the methods into projective methods and

CiteSeerX — Dimension Reduction: A Guided Tour

http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.1006

BibTeX @MISC{Burges09dimensionreduction:, author = {Christopher J. C. Burges}, title = {Dimension Reduction: A Guided Tour}, year = {2009}}

Dimension Reduction: A Guided Tour - Microsoft Research

https://www.microsoft.com/en-us/research/publication/dimension-reduction-a-guided-tour-2/

Dimension Reduction: A Guided Tour. Chris J.C. Burges; Foundations and Trends in Machine Learning January 2010. View Publication. Download BibTex. We give a tutorial overview of several foundational methods for dimension reduction. We divide the methods into projective methods and methods that model the manifold on which the data lies.

Dimension Reduction: A Guided Tour - Foundations and ...

https://www.waterstones.com/book/dimension-reduction/christopher-j-c-burges/9781601983787

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