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    NIPS
    2004
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    Learning Gaussian Process Kernels via Hierarchical Bayes
    14 years 28 days ago
    Learning Gaussian Process Kernels via Hierarchical Bayes
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    We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
    Anton Schwaighofer, Volker Tresp, Kai Yu
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