Statistical Machine Learning

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1 domain-specific abstractions whose origin domain is Statistical Machine Learning.

• Bayesian Interpretation of Kernel Regularization — The parameter-matched correspondence in which RKHS-norm-regularized least squares and Gaussian-process regression share a kernel matrix and yield the same point predictor, while retaining different inferential commitments.