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We introduce the convolutional spectral kernel (CSK), a novel family of non-stationary, nonparametric covariance kernels for Gaussian process (GP) models, derived from the convolution between two imaginary radial basis functions.
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S. Remes, M. Heinonen, and S. Kaski · 2017
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Advances in kernel methods: towards general-purpose and scalable models
Y.-L. K. Samo · 2017
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