SVM Tutorials
Best Tutorials
- Introductory: HEARST, Marti A., et al., 1998. Support vector machines. IEEE Intelligent Systems, 13(4), 18–28.
- Intermediate: BURGES, Christopher J. C., 1998. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2), 121–167.
- Advanced: CRISTIANINI, Nello, and John SHAWE-TAYLOR, 2000. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge, UK: Cambridge University Press.
Other Tutorials
- Support Vector Machines
- slide1.pdf
- ASANO, A., Support vector machine and kernel method, Pattern information processing (2004 Autumn Semester) Session 12 (05. 1. 21)
- BENNETT, Kristin P. and Colin CAMPBELL, Support Vector Machines: Hype or Hallelujah? [about 80]
- BERWICK, An Idiot’s guide to Support vector machines (SVMs)
- BURBIDGE, Robert, Support Vector Machines: Some Perspectives from Probability and Statistics [3]
- BURBIDGE, Robert and Bernard BUXTON, An Introduction to Support Vector Machines for Data Mining [about 17]
- CRISTIANINI, Nello, Support Vector and Kernel Machines [about 20]
- ERÄSTÖ, Panu, Support Vector Machines – Backgrounds and Practice
- EVGENIOU, Theodoros and Massimiliano PONTIL, Workshop on Support Vector Machines: Theory and Applications [about 6]
- EVGENIOU, Theodoros and Massimiliano PONTIL, Statistical Learning Theory: a Primer [about 45]
- GUNN, Steve, Support Vector Machines for Classification and Regression [about 101]
- GUNN, Steve, Support Vector Machines for Classification and Regression [about 101]
- KECMAN, Vojislav, Learning from data: Support vector machines and neural networks: Similarities and differences [1]
- LIN, Yi, On the Support Vector Machine [about 4]
- MOORE, Andrew W., Support Vector Machines
- PONTIL, Massimiliano and Alessandro VERRI, Properties of Support Vector Machines
- PONTIL, Massimiliano and Alessandro VERRI, Properties of Support Vector Machines, 1998.
- RAUDYS, Š., How good are support vector machines? [10]
- RIFKIN, Ryan, Current Topics of Research III: Theory And Implmentation Of Support Vector Machines
- SMOLA, Alex J. and Bernhard SCH?O?LKOPF, A Tutorial on Support Vector Regression [about 450]
- SMOLA, Alex and Bernhard SCH?O?LKOPF, Tutorials on Kernel Methods
- SMOLA, Alexander J., et al., (editors) Advances in Large Margin Classifiers
- VERT, Jean-Philippe, Support Vector Machines (SVM) in bioinformatics
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