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Sparsity by Default: The Theory and Practice of ARD in Gaussian Process Regression for Variable Selection
Automatic relevance determination (ARD) is the standard device for input selection in Gaussian process (GP) regression. By giving the covariance kernel a separate lengthscale for every input and learning those lengthscales by maximizing the marginal likelihood, ARD lets the data decide which coordin
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