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Variational Model Selection for Sparse Gaussian Process Regression
Published on 2008-10-096213 Views
Model selection for sparse Gaussian process (GP) models is an important problem that involves the selection of both the inducing/active variables and the kernel parameters. We describe an auxiliary va