LIBSVM
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Tài liệu tham khảo
Crisp D. J. and Burges C. J. C. 2000. A geometric interpretation of ν-SVM classifiers. In Advances in Neural Information Processing Systems S. Solla T. Leen and K.-R. Müller Eds. Vol. 12 MIT Press Cambridge MA. Crisp D. J. and Burges C. J. C. 2000. A geometric interpretation of ν-SVM classifiers. In Advances in Neural Information Processing Systems S. Solla T. Leen and K.-R. Müller Eds. Vol. 12 MIT Press Cambridge MA.
Fine S., 2001, Efficient svm training using low-rank kernel representations, J. Mach. Learn. Res., 2, 243
Hsu C.-W. Chang C.-C. and Lin C.-J. 2003. A practical guide to support vector classification. Tech. rep. Department of Computer Science National Taiwan University. Hsu C.-W. Chang C.-C. and Lin C.-J. 2003. A practical guide to support vector classification. Tech. rep. Department of Computer Science National Taiwan University.
Joachims T., Advances in Kernel Methods -- Support Vector Learning, B. Schölkopf
Knerr S., 1990, Neurocomputing: Algorithms, Architectures and Applications
Kressel U. H.-G., Advances in Kernel Methods -- Support Vector Learning, B. Schölkopf
Lee Y.-J., Proceedings of the 1st SIAM International Conference on Data Mining.
Lin C.-J. and Weng R. C. 2004. Simple probabilistic predictions for support vector regression. Tech. rep. Department of Computer Science National Taiwan University. Lin C.-J. and Weng R. C. 2004. Simple probabilistic predictions for support vector regression. Tech. rep. Department of Computer Science National Taiwan University.
List N., 2007, General polynomial time decomposition algorithms, J. Mach. Learn. Res., 8, 303
List N., Proceedings of the 22nd Annual Conference on Computational Learning Theory.
Osuna E. Freund R. and Girosi F. 1997a. Support vector machines: Training and applications. AI Memo 1602 Massachusetts Institute of Technology. Osuna E. Freund R. and Girosi F. 1997a. Support vector machines: Training and applications. AI Memo 1602 Massachusetts Institute of Technology.
Osuna E., Proceedings of CVPR'97
Platt J. C., Advances in Kernel Methods - Support Vector Learning, B. Schölkopf
Platt J. C., Advances in Large Margin Classifiers, A. Smola, P. Bartlett, B. Schölkopf, and D
Vapnik V. 1998. Statistical Learning Theory. Wiley New York. Vapnik V. 1998. Statistical Learning Theory. Wiley New York.