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What is Learnable in Valiant's Theory of the Learnable? 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Development of modeling and control strategies for an approximated Gaussian process
Shisheng Cui, Chia-Jung Chang · 2020-02-13 · via math.ST updates on arXiv.org

The Gaussian process (GP) model, which has been extensively applied as priors of functions, has demonstrated excellent performance. The specification of a large number of parameters affects the computational efficiency and the feasibility of implementation of a control strategy. We propose a linear model to approximate GPs; this model expands the GP model by a series of basis functions. Several examples and simulation studies are presented to demonstrate the advantages of the proposed method. A control strategy is provided with the proposed linear model.

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