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cond-mat.dis-nn2001
Gaussian Process Regression with Mismatched Models
Peter Sollich
Learning curves for Gaussian process regression are well understood when the `student' model happens to match the `teacher' (true data generation process). I derive approximations…
cond-mat.dis-nn2001
Learning curves for Gaussian process regression: Approximations and bounds
Peter Sollich, Anason Halees
We consider the problem of calculating learning curves (i.e., average generalization performance) of Gaussian processes used for regression. On the basis of a simple expression for…