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Tutorials
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admin
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last modified
2008-11-11 09:43
- Hofmann, T, Schölkopf, B, and Smola, AJ (2008) Kernel Methods in Machine Learning, Annals of Statistics, 36:1171-1220.
- Ben-Hur, A, Ong, C, Sonnenburg, S, Schölkopf, B, and Rätsch, G (2008) Support Vector Machines and Kernels for Computational Biology, PLoS Computational Biology, 4.
- Seeger, M (2004) Gaussian Processes for Machine Learning, International Journal of Neural Systems, 14(2):1–38.
- Chen, P, Lin, C, and Schölkopf, B (2003) A tutorial on $\nu$-Support Vector Machines, ..
- Müller, K, Mika, S, Rätsch, G, Tsuda, K, and Schölkopf, B (2001) An Introduction to Kernel-based Learning Algorithms, IEEE Neural Networks, 12(2):181–201.
- Cristianini, N (2001) ICML'01 Tutorial, Miscellaneous publication.
- Schölkopf, B (2001) SVM and Kernel Methods, Miscellaneous publication.
- Schölkopf, B (2000) The Kernel Trick for Distances, Microsoft Research, TR MSR(2000-51), Redmond, WA.
- Wahba, G (2000) An Introduction to Model Building with Reproducing Kernel Hilbert Spaces, University of Wisconsin-Madison, Statistics Dept..
- Schölkopf, B (2000) Statistical Learning and Kernel Methods, Microsoft Research, MSR-TR(2000-23).
- Schölkopf, B (1999) Support Vector Learning, Miscellaneous publication.
- Smola, AJ and Schölkopf, B (1998) On a Kernel–based Method for Pattern Recognition, Regression, Approximation and Operator Inversion, Algorithmica, 22:211–231.
- Burges, CJ (1998) A Tutorial on Support Vector Machines for Pattern Recognition, Knowledge Discovery and Data Mining, 2(2).
- MacKay, D (1997) Introduction to Gaussian Processes, Miscellaneous publication.
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