On-line prediction with kernels and the complexity approximation principle
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Properties of the posterior distribution of a regression model based on Gaussian random fields
Automation and Remote Control
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We show the results of applying the kernel ridge regression method to the problem of fast computation of aerodynamical characteristics of an airplane. We compare our results with the results found with surrogate models constructed with artificial neural networks.