[PDF.67kt] Dimension Reduction: A Guided Tour (Foundations and Trends(r) in Machine Learning)

Dimension Reduction: A Guided Tour (Foundations and Trends(r) in Machine Learning)

[PDF.tl59] Dimension Reduction: A Guided Tour (Foundations and Trends(r) in Machine Learning)

Dimension Reduction: A Guided  Christopher J. C. Burges epub
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 | #1019887 in Books |  Now Publishers Inc |  2010-07-20 | Original language:English | PDF # 1 |  9.21 x.22 x6.14l,.35 | File type: PDF | 106 pages

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||About the Author|Burges is Distinguished Member of Technical Staff at Lucent Technologies, Bell Laboratories.

Dimension reduction is the mapping of data to a lower dimensional space such that uninformative variance in the data is discarded, or such that a subspace in which the data lives is detected. Dimension reduction has a long history as a method for data visualization, and for extracting key low dimensional features (for example, the two-dimensional orientation of an object, from its high dimensional image representation). In some cases the desired low dimensional features ...

You can specify the type of files you want, for your gadget.Dimension Reduction: A Guided Tour (Foundations and Trends(r) in Machine Learning)   |  Christopher J. C. Burges. I really enjoyed this book and have already told so many people about it!

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