Fast and robust learning through fuzzy linear proximal support vector machines
暂无分享,去创建一个
[1] Vladimir Cherkassky,et al. Learning from Data: Concepts, Theory, and Methods , 1998 .
[2] David R. Musicant,et al. Active Support Vector Machine Classification , 2000, NIPS.
[3] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[4] David R. Musicant,et al. Lagrangian Support Vector Machines , 2001, J. Mach. Learn. Res..
[5] Sheng-De Wang,et al. Fuzzy support vector machines , 2002, IEEE Trans. Neural Networks.
[6] Jiun-Hung Chen,et al. Fuzzy kernel perceptron , 2002, IEEE Trans. Neural Networks.
[7] Alexander J. Smola,et al. Advances in Large Margin Classifiers , 2000 .
[8] O. Mangasarian,et al. Massive data discrimination via linear support vector machines , 2000 .
[9] Shigeo Abe,et al. Fuzzy least squares support vector machines , 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..
[10] Olvi L. Mangasarian,et al. Generalized Support Vector Machines , 1998 .
[11] Gene H. Golub,et al. Matrix computations , 1983 .
[12] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[13] Olvi L. Mangasarian,et al. Nonlinear Programming , 1969 .
[14] Glenn Fung,et al. Proximal support vector machine classifiers , 2001, KDD '01.
[15] J. Mill,et al. An application of fuzzy support vectors , 2003, 22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003.
[16] James M. Keller,et al. Incorporating Fuzzy Membership Functions into the Perceptron Algorithm , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] S. Abe,et al. Fuzzy support vector machines for pattern classification , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).