Learning with kernels
@inproceedings{Smola1998LearningWK, title={Learning with kernels}, author={Alex Smola}, year={1998} }
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References
SHOWING 1-10 OF 65 REFERENCES
A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines
- Mathematics
- 1970
- 863
The Nature of Statistical Learning Theory
- Mathematics, Political Science
- Statistics for Engineering and Information Science
- 2000
- 36,766
- PDF
Support Vector Method for Function Approximation, Regression Estimation and Signal Processing
- Mathematics, Computer Science
- NIPS
- 1996
- 2,329
- PDF
Regularization Networks and Support Vector Machines
- Mathematics, Computer Science
- Adv. Comput. Math.
- 2000
- 1,242
- PDF
Input space versus feature space in kernel-based methods
- Mathematics, Medicine
- IEEE Trans. Neural Networks
- 1999
- 1,195
On a Kernel-Based Method for Pattern Recognition, Regression, Approximation, and Operator Inversion
- Mathematics, Computer Science
- Algorithmica
- 1998
- 304