Gaussian Processes for Machine Learning
Citations
11,283 citations
Cites methods from "Gaussian Processes for Machine Lear..."
...For the regression task, Gaussian Process regression [36] performs best....
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6,935 citations
Cites background or methods from "Gaussian Processes for Machine Lear..."
...Gaussian process regression gives us the statistical machinery to look atΨ and measure its effective dimensionality (Neal, 1998; Rasmussen and Williams, 2006)....
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...Our analysis of the hyper-parameter response surface (Ψ) suggests that random experiments are more efficient because not all hyperparameters are equally important to tune....
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5,654 citations
Cites background from "Gaussian Processes for Machine Lear..."
...This results in a procedure that can find the minimum of difficult non-convex functions with relatively few evaluations, at the cost of performing more computation to determine the next point to try....
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5,448 citations
4,853 citations
Cites methods from "Gaussian Processes for Machine Lear..."
...Richer models are provided by Gaussian process classifiers (Rasmussen and Williams, 2006)....
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References
40,147 citations
"Gaussian Processes for Machine Lear..." refers methods in this paper
...The BCM approach is transductive [Vapnik, 1995] rather than inductive, in the sense that the method computes a test-set dependent model making use of the test set input locations....
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33,341 citations
26,531 citations
"Gaussian Processes for Machine Lear..." refers methods in this paper
...This method has been suggested by Wahba et al. [1995] (in the context of numerical weather prediction) and by Gibbs and MacKay [1997] (in the context of general GP regression)....
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24,199 citations