A tutorial on support vector machines for pattern recognition (1998)

by Christopher J. C. Burges
Venue:Data Mining and Knowledge Discovery
Citations:2284 - 11 self

Active Bibliography

470 A tutorial on support vector regression – Alex J. Smola, Bernhard Schölkopf - 2004
146 The Connection between Regularization Operators and Support Vector Kernels – Alex J. Smola, Bernhard Schölkopf, Klaus-Robert Müller - 1998
371 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
77 On a Kernel-based Method for Pattern Recognition, Regression, Approximation, and Operator Inversion – Alex J. Smola, Bernhard Schölkopf - 1997
Contributed article The connection between regularization operators and support vector kernels – Alex J. Smola, Bernhard Schölkopf, Klaus-robert Müller - 1997
321 New Support Vector Algorithms – Bernhard Schölkopf, Alex J. Smola, Robert C. Williamson, Peter L. Bartlett - 2000
5 Mathematical Programming Approaches To Machine Learning And Data Mining – Paul S. Bradley - 1998
35 A Review of Kernel Methods in Machine Learning – Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola - 2006
47 Mathematical Programming for Data Mining: Formulations and Challenges – P. S. Bradley, Usama M. Fayyad, O. L. Mangasarian - 1998
16 Regression Models for Ordinal Data: A Machine Learning Approach – Ralf Herbrich, Thore Graepel, Klaus Obermayer - 1999
42 Moderating the Outputs of Support Vector Machine Classifiers – James Tin-yau Kwok - 1999
9 Optimization Methods In Massive Datasets – P.S. Bradley, O. L. Mangasarian, D. R. Musicant
6 Large margin multi-category discriminant models and scale-sensitive Ψ-dimensions – Yann Guermeur - 2006
10 Support Vector Methods in Learning and Feature Extraction – Bernhard Schölkopf, Alex Smola, Klaus-Robert Müller, Chris Burges, Vladimir Vapnik - 1998
39 Combining Discriminant Models with new Multi-Class SVMs – Yann Guermeur - 2000
1 Neural Networks in Economics: Background, Applications and New Developments – Ralf Herbrich, Max Keilbach, Thore Graepel, Peter Bollmann-Sdorra, Klaus Obermayer - 1998
Road Vehicle Classification using Support Vector Machines – Zezhi Chen
4 Simple Learning Algorithms for Training Support Vector Machines – Colin Campbell, Nello Cristianini - 1998