Franz MO, Schölkopf B. (2006). A unifying view of wiener and volterra theory and polynomial kernel regression. Neural computation. 18 [PubMed]
Gunter L, Zhu J. (2007). Efficient computation and model selection for the support vector regression. Neural computation. 19 [PubMed]
Micchelli CA, Pontil M. (2005). On learning vector-valued functions. Neural computation. 17 [PubMed]
Rosasco L, De Vito E, Caponnetto A, Piana M, Verri A. (2004). Are loss functions all the same? Neural computation. 16 [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]
Wu Q, Zhou DX. (2005). SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming Neural Comput. 17
Zhang T. (2005). Learning bounds for kernel regression using effective data dimensionality. Neural computation. 17 [PubMed]