most citedVariable noise and dimensionality reduction for sparse Gaussian processes

13 citations · 13 across the 1 of their papers we have counts for

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1 paper

cs.LG2012★ 13 cited

Variable noise and dimensionality reduction for sparse Gaussian processes

Edward Snelson, Zoubin Ghahramani

The sparse pseudo-input Gaussian process (SPGP) is a new approximation method for speeding up GP regression in the case of a large number of data points N. The approximation is con…