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Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions

Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions

P. Greengard
M. O’Neil
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Papers citing "Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions"

2 / 2 papers shown
Title
Hilbert Space Methods for Reduced-Rank Gaussian Process Regression
Hilbert Space Methods for Reduced-Rank Gaussian Process Regression
Arno Solin
Simo Särkkä
168
217
0
21 Jan 2014
A randomized algorithm for principal component analysis
A randomized algorithm for principal component analysis
V. Rokhlin
Arthur Szlam
M. Tygert
87
431
0
12 Sep 2008

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