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Gaussian process and design of experiments for surrogate modeling of optical properties of fractal aggregates
A systematic approach based on the principles of supervised learning and design of experiments concepts is introduced to build a surrogate model for estimating the optical properties of fractal aggregates. The surrogate model is built on Gaussian process (GP) regression, and the input points for the
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