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Oznake: computer science;machine learning
Gaussian processes (GPs) are a flexible class of methods with state of the art performance on spatial statistics applications. However, GPs require O(n3) computations and O(n2) storage, and popular GP kernels are typically limited to smoothing and interpolation. To address these difficulties, Kronec ...
Leto: 2015 Vir: videolectures.net
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