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Thies T, Weber F (2004) Optimal reduced-set vectors for support vector machines with a quadratic kernel. Neural Comput 16:1769-77 [PubMed]

References and models cited by this paper

References and models that cite this paper

Boser BE, Guyon I, Vapnik V (1992) A training algorithm for optimal margin classifiers Proceedings Of The Fifth Annual Workshop Of Computational Learning Theory 5:144-152
Burges C (1996) Simplified support vector decision rules 13th Intl Conf Mach Learn, Sartta L, ed. pp.71
Osuna E, Girosi F (1998) Reducing the run-time complexity of support vector machines Intl Conf Pattern Recognition
Scholkopf B, Smola AJ (2001) Learning with kernels: Support vector machines, regularization, optimization, and beyond
Tipping M (2001) Sparse Bayesian learning and the relevance vector machine J Mach Learn Res 1:211-214
Vapnik V (1998) Statistical Learning Theory
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