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Gaussian Process Product Models for Nonparametric Nonstationarity

Published on 2008-07-296488 Views
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Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covariance functions can be

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