Scholkopf B, Smola AJ, Williamson RC, Bartlett PL. (2000). New support vector algorithms Neural computation. 12 [PubMed]

See more from authors: Scholkopf B · Smola AJ · Williamson RC · Bartlett PL

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]

Ikeda K, Murata N. (2005). Geometrical properties of nu support vector machines with different norms. Neural computation. 17 [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]

Vijayakumar S, D'Souza A, Schaal S. (2005). Incremental online learning in high dimensions. Neural computation. 17 [PubMed]

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