Conformal Transformation of Kernel Functions: A Data-Dependent Way to Improve Support Vector Machine Classifiers
暂无分享,去创建一个
Si Wu | Shun-ichi Amari | S. Amari | Si Wu
[1] Bernhard Schölkopf,et al. Prior Knowledge in Support Vector Kernels , 1997, NIPS.
[2] Christopher K. I. Williams. Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and Beyond , 1999, Learning in Graphical Models.
[3] Nello Cristianini,et al. An introduction to Support Vector Machines , 2000 .
[4] Bernhard Schölkopf,et al. The connection between regularization operators and support vector kernels , 1998, Neural Networks.
[5] Si Wu,et al. An information-geometrical method for improving the performance of support vector machine classifiers , 1999 .
[6] Peter Sollich,et al. Probabilistic Methods for Support Vector Machines , 1999, NIPS.
[7] Federico Girosi,et al. An Equivalence Between Sparse Approximation and Support Vector Machines , 1998, Neural Computation.
[8] M. Aizerman,et al. Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning , 1964 .
[9] Christopher J. C. Burges,et al. Geometry and invariance in kernel based methods , 1999 .
[10] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[11] Si Wu,et al. Improving support vector machine classifiers by modifying kernel functions , 1999, Neural Networks.
[12] Bernhard Schölkopf,et al. A tutorial on support vector regression , 2004, Stat. Comput..
[13] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[14] Bernhard Schölkopf,et al. Comparing support vector machines with Gaussian kernels to radial basis function classifiers , 1997, IEEE Trans. Signal Process..
[15] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[16] Matthias W. Seeger,et al. Bayesian Model Selection for Support Vector Machines, Gaussian Processes and Other Kernel Classifiers , 1999, NIPS.
[17] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .