Wahba G, Craven P. (1979). Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation Numerische Mathematik. 31

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References and models cited by this paper
References and models that cite this paper

Gunter L, Zhu J. (2007). Efficient computation and model selection for the support vector regression. Neural computation. 19 [PubMed]

Sugiyama M, Kawanabe M, Müller KR. (2004). Trading variance reduction with unbiasedness: the regularized subspace information criterion for robust model selection in kernel regression. Neural computation. 16 [PubMed]

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