
A novel learning strategy that models the sought function as a sample function of a non-stationary Gaussian Process, which nests multiple stationary Gaussian Processes within it, to effectively capture inhomogeneities in the correlation structure of the available data.


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a-flexible-and-adaptive-learning-strategy-using-nested-gaussian-processes-to-model-inhomogeneous-correlation-structures


A Flexible and Adaptive Learning Strategy Using Nested Gaussian Processes to Model Inhomogeneous Correlation Structures
