Publications of B Schölkopf
All genres
Journal Article (110)
Journal Article
14 (3), pp. 199 - 222 (2004)
A Tutorial on Support Vector Regression. Statistics and Computing
Journal Article
51 (6), pp. 1003 - 1010 (2004)
Support Vector Channel Selection in BCI. IEEE Transactions on Biomedical Engineering
Journal Article
5, pp. 293 - 323 (2004)
A Compression Approach to Support Vector Model Selection. The Journal of Machine Learning Research
Journal Article
17 (1), pp. 127 - 141 (2004)
Experimentally optimal ν in support vector regression for different noise models and parameter settings. Neural networks
Journal Article
2004, pp. 377 - 382 (2004)
Statistische Lerntheorie und Empirische Inferenz. Jahrbuch der Max-Planck-Gesellschaft
Journal Article
8 (4), pp. 87 - 94 (2003)
Statistical Learning Theory, Capacity and Complexity. Complexity
Journal Article
55 (2), pp. 391 - 408 (2003)
Dealing with large Diagonals in Kernel Matrices. Annals of the Institute of Statistical Mathematics
Journal Article
25 (5), pp. 623 - 628 (2003)
Constructing Descriptive and Discriminative Non-linear Features: Rayleigh Coefficients in Kernel Feature Spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal Article
25 (5), pp. 623 - 628 (2003)
Constructing descriptive and discriminative nonlinear features: Rayleigh coefficients in kernel feature spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal Article
19 (6), pp. 764 - 771 (2003)
Feature selection and transduction for prediction of molecular bioactivity for drug design. Bioinformatics
Journal Article
3, pp. 1439 - 1461 (2003)
Use of the Zero-Norm with Linear Models and Kernel Methods. The Journal of Machine Learning Research
Journal Article
23 (3), pp. 31 - 41 (2002)
Support Vector Machines and Kernel Methods: The New Generation of Learning Machines. AI Magazine
Journal Article
24 (9), pp. 1184 - 1199 (2002)
Constructing Boosting algorithms from SVMs: an application to one-class classification. IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal Article
46 (1-3), pp. 161 - 190 (2002)
Training invariant support vector machines. Machine Learning
Journal Article
47 (6), pp. 2516 - 2532 (2001)
Generalization performance of regularization networks and support vector machines via entropy numbers of compact operators. IEEE Transactions on Information Theory
Journal Article
1, pp. 179 - 209 (2001)
Regularized principal manifolds. The Journal of Machine Learning Research
Journal Article
12 (2), pp. 181 - 201 (2001)
An Introduction to Kernel-Based Learning Algorithms. IEEE Transactions on Neural Networks
Journal Article
13 (7), pp. 1443 - 1471 (2001)
Estimating the support of a high-dimensional distribution. Neural computation
Journal Article
12 (5), pp. 1207 - 1245 (2000)
New Support Vector Algorithms. Neural computation
Journal Article
10 (5), pp. 1000 - 1017 (1999)
Input space versus feature space in kernel-based methods. IEEE Transactions on Neural Networks