暂无分享,去创建一个
[1] K. Schittkowski. Optimal parameter selection in support vector machines , 2005 .
[2] Michael I. Jordan,et al. Multiple kernel learning, conic duality, and the SMO algorithm , 2004, ICML.
[3] Anthony Widjaja,et al. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2003, IEEE Transactions on Neural Networks.
[4] Jason Weston,et al. Large-scale kernel machines , 2007 .
[5] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[6] Ingo Steinwart,et al. On the Influence of the Kernel on the Consistency of Support Vector Machines , 2002, J. Mach. Learn. Res..
[7] Kaare Brandt Petersen,et al. The Matrix Cookbook , 2006 .
[8] Misha Pavel,et al. Adjustment Learning and Relevant Component Analysis , 2002, ECCV.
[9] Kilian Q. Weinberger,et al. Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.
[10] Ching Y. Suen,et al. Automatic model selection for the optimization of SVM kernels , 2005, Pattern Recognit..
[11] Inderjit S. Dhillon,et al. Information-theoretic metric learning , 2006, ICML '07.
[12] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[13] Thore Graepel,et al. Kernel Matrix Completion by Semidefinite Programming , 2002, ICANN.
[14] P. Mahalanobis. On the generalized distance in statistics , 1936 .
[15] Amir Globerson,et al. Metric Learning by Collapsing Classes , 2005, NIPS.
[16] Yunqian Ma,et al. Practical selection of SVM parameters and noise estimation for SVM regression , 2004, Neural Networks.
[17] Thorsten Joachims,et al. Making large scale SVM learning practical , 1998 .
[18] Gunnar Rätsch,et al. Large Scale Multiple Kernel Learning , 2006, J. Mach. Learn. Res..
[19] Nello Cristianini,et al. Learning the Kernel Matrix with Semidefinite Programming , 2002, J. Mach. Learn. Res..
[20] Sayan Mukherjee,et al. Choosing Multiple Parameters for Support Vector Machines , 2002, Machine Learning.
[21] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[22] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[23] S. P. Lloyd,et al. Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.
[24] Yoram Singer,et al. Online and batch learning of pseudo-metrics , 2004, ICML.
[25] Sayan Mukherjee,et al. Feature Selection for SVMs , 2000, NIPS.
[26] Alexander Zien,et al. Non-Sparse Regularization and Efficient Training with Multiple Kernels , 2010, ArXiv.
[27] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[28] Michael I. Jordan,et al. Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.
[29] Christian Igel,et al. Evolutionary tuning of multiple SVM parameters , 2005, ESANN.
[30] Geoffrey E. Hinton,et al. Neighbourhood Components Analysis , 2004, NIPS.
[31] Alexander J. Smola,et al. Learning the Kernel with Hyperkernels , 2005, J. Mach. Learn. Res..
[32] Alexander Zien,et al. Non-Sparse Regularization for Multiple Kernel Learning , 2010, 1003.0079.