Citation Relationships

Legends: Link to a Model Reference cited by multiple papers


Cristianini N, Shawe-taylor J (2000) An introduction to support vector machines

References and models cited by this paper

References and models that cite this paper

Baram Y (2005) Learning by Kernel Polarization Neural Comput 17:1264-1275
Chapelle O (2007) Training a support vector machine in the primal. Neural Comput 19:1155-78 [Journal] [PubMed]
Crammer K, Singer Y (2005) Online ranking by projecting. Neural Comput 17:145-75 [Journal] [PubMed]
Hardoon DR, Szedmak S, Shawe-Taylor J (2004) Canonical correlation analysis: an overview with application to learning methods. Neural Comput 16:2639-64 [Journal] [PubMed]
Ikeda K (2004) An asymptotic statistical theory of polynomial kernel methods Neural Comput 16:1705-1719
Ikeda K, Murata N (2005) Geometrical properties of nu support vector machines with different norms. Neural Comput 17:2508-29 [Journal] [PubMed]
Lin TC, Yu PT (2004) Adaptive two-pass median filter based on support vector machines for image restoration. Neural Comput 16:332-53 [Journal] [PubMed]
Micchelli CA, Pontil M (2005) On learning vector-valued functions. Neural Comput 17:177-204 [Journal] [PubMed]
Paninski L, Pillow JW, Simoncelli EP (2004) Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model. Neural Comput 16:2533-61 [Journal] [PubMed]
Park J, Kang D, Kim J, Kwok JT, Tsang IW (2007) SVDD-based pattern denoising. Neural Comput 19:1919-38 [Journal] [PubMed]
Rosasco L, De Vito E, Caponnetto A, Piana M, Verri A (2004) Are loss functions all the same? Neural Comput 16:1063-76 [Journal] [PubMed]
Sha F, Lin Y, Saul LK, Lee DD (2007) Multiplicative updates for nonnegative quadratic programming. Neural Comput 19:2004-31 [Journal] [PubMed]
Shin H, Cho S (2007) Neighborhood property-based pattern selection for support vector machines. Neural Comput 19:816-55 [Journal] [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 Comput 16:1077-104 [Journal] [PubMed]
Tsuda K, Akaho S, Kawanabe M, Müller KR (2004) Asymptotic properties of the Fisher kernel. Neural Comput 16:115-37 [PubMed]
Wu Q, Zhou DX (2005) SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming Neural Comput 17:1160-1187
(16 refs)