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

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by Chris J.C. Burges , Bernhard Schölkopf
Venue:Advances in Neural Information Processing Systems 9
Citations:145 - 21 self

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77 On a Kernel-based Method for Pattern Recognition, Regression, Approximation, and Operator Inversion – Alex J. Smola, Bernhard Schölkopf - 1997
2272 A tutorial on support vector machines for pattern recognition – Christopher J. C. Burges - 1998
473 A tutorial on support vector regression – Alex J. Smola, Bernhard Schölkopf - 2004
125 Comparing Support Vector Machines with Gaussian Kernels to Radial Basis Function Classifiers – Bernhard Schölkopf, K. Sung, C. Burges, F. Girosi, P. Niyogi, T. Poggio, V. Vapnik - 1997
5 Mathematical Programming Approaches To Machine Learning And Data Mining – Paul S. Bradley - 1998
42 Moderating the Outputs of Support Vector Machine Classifiers – James Tin-yau Kwok - 1999
131 Support Vector Learning – Bernhard Schölkopf - 1997
Support Vector Learning Promotionsausschuss: vorgelegt von Diplom-Physiker, M.Sc. (Mathematics) – Bernhard Scholkopf, Vom Fachbereich Informatik, Doktor Der Naturwissenschaften, Berichter Prof, Dr. V. Vapnik, Bernhard Scholkopf - 1997
47 Mathematical Programming for Data Mining: Formulations and Challenges – P. S. Bradley, Usama M. Fayyad, O. L. Mangasarian - 1998
Feature Selection for Support Vector . . . – Holger Fröhlich - 2002
24 Statistical Learning and Kernel Methods – Bernhard Schölkopf - 2000
10 A short introduction to learning with kernels – Bernhard Schölkopf, Alexander J. Smola - 2002
10 Support Vector Methods in Learning and Feature Extraction – Bernhard Schölkopf, Alex Smola, Klaus-Robert Müller, Chris Burges, Vladimir Vapnik - 1998
12 Incorporating invariances in nonlinear support vector machines – Olivier Chapelle, Bernhard Schölkopf - 2001
136 Training Invariant Support Vector Machines – Dennis DeCoste, Bernhard Schölkopf, Nello Cristianini - 2002
1048 Nonlinear component analysis as a kernel eigenvalue problem – Bernhard Schölkopf, Alexander Smola, Klaus-Robert Müller - 1996
373 An introduction to kernel-based learning algorithms – Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf - 2001
1 A review of RKHS methods in machine learning – Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola - 2006
146 The Connection between Regularization Operators and Support Vector Kernels – Alex J. Smola, Bernhard Schölkopf, Klaus-Robert Müller - 1998