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An Exchanging-based Refinement to Sparse Gaussian Process Regression
Ping Sun
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Oznake: computer science;machine learning;gaussian processes
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.
Leto: 2006 Vir: videolectures.net
Št. zadetkov: 1
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