Hoerl AE, Kennard RW. (1970). Ridge regression: Biased estimation for nonorthogonal problems Technometrics. 12

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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]

Sundararajan S, Shevade S, Keerthi SS. (2007). Fast generalized cross-validation algorithm for sparse model learning. Neural computation. 19 [PubMed]

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