Improving the Accuracy and Speed of Support Vector Machines (1997)

View PDF

Download Links

by Chris J.C. Burges , Bernhard Schölkopf
Venue:Advances in Neural Information Processing Systems 9
Citations:176 - 22 self

Documents Related by Co-Citation

9946 The Nature of Statistical Learning Theory – Vladimir N. Vapnik - 1995
2386 Support-Vector Networks – Corinna Cortes, Vladimir Vapnik - 1995
1422 A training algorithm for optimal margin classifiers – Bernhard E. Boser, et al. - 1992
154 Simplified Support Vector Decision Rules – Chris J.C. Burges - 1996
1145 Nonlinear component analysis as a kernel eigenvalue problem – Bernhard Schölkopf, Alexander Smola, Klaus-Robert Müller - 1996
210 Support Vector Method for Function Approximation, Regression Estimation, and Signal Processing – Vladimir Vapnik, Steven E. Golowich, Alex Smola - 1996
301 Theoretical foundations of the potential function method in pattern recognition learning – M Aizerman, E Braverman, L Rozonoer - 1964
138 Support Vector Learning – Bernhard Schölkopf - 1997
5369 Neural Networks for Pattern Recognition – C Bishop - 1995