Baram Y. (2005). Learning by Kernel Polarization Neural Comput. 17
Chapelle O. (2007). Training a support vector machine in the primal. Neural computation. 19 [PubMed]
Crammer K, Singer Y. (2005). Online ranking by projecting. Neural computation. 17 [PubMed]
Hardoon DR, Szedmak S, Shawe-Taylor J. (2004). Canonical correlation analysis: an overview with application to learning methods. Neural computation. 16 [PubMed]
Ikeda K. (2004). An asymptotic statistical theory of polynomial kernel methods Neural Comput. 16
Ikeda K, Murata N. (2005). Geometrical properties of nu support vector machines with different norms. Neural computation. 17 [PubMed]
Lin TC, Yu PT. (2004). Adaptive two-pass median filter based on support vector machines for image restoration. Neural computation. 16 [PubMed]
Micchelli CA, Pontil M. (2005). On learning vector-valued functions. Neural computation. 17 [PubMed]
Paninski L, Pillow JW, Simoncelli EP. (2004). Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model. Neural computation. 16 [PubMed]
Park J, Kang D, Kim J, Kwok JT, Tsang IW. (2007). SVDD-based pattern denoising. Neural computation. 19 [PubMed]
Rosasco L, De Vito E, Caponnetto A, Piana M, Verri A. (2004). Are loss functions all the same? Neural computation. 16 [PubMed]
Sha F, Lin Y, Saul LK, Lee DD. (2007). Multiplicative updates for nonnegative quadratic programming. Neural computation. 19 [PubMed]
Shin H, Cho S. (2007). Neighborhood property-based pattern selection for support vector machines. 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]
Tsuda K, Akaho S, Kawanabe M, Müller KR. (2004). Asymptotic properties of the Fisher kernel. Neural computation. 16 [PubMed]
Wu Q, Zhou DX. (2005). SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming Neural Comput. 17