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Improve fits for high dimensional, highly nonlinear surrogate models

We still need a way to improve fits for high dimensional, highly nonlinear surrogate models with neural nets and Gaussian process. Sample problem was already given to Chris Gotwalt.

wegman.cj

Re: Improve fits for high dimensional, highly nonlinear surrogate models - Status changed to: Delivered

This is something that FDE should cover

Re: Improve fits for high dimensional, highly nonlinear surrogate models

JMP Pro, version 13 enhances Gaussian Process to handle much larger problems, faster. Does that satisfy the requirement here?

Re: Improve fits for high dimensional, highly nonlinear surrogate models - Status changed to: Open for Voting

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