An Exchanging-based Refinement to Sparse Gaussian Process Regression
published: Feb. 25, 2007, recorded: June 2006, views: 4386
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We propose a backward deletion procedure to Sparse Gaussian Process Regression (SGPR) model, which can be used to refine a number of se- quential forward selection algorithms addressed recently. Some experi- mental results demonstrate the effectiveness of our approach.
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