Publikationen von B Schölkopf
Alle Typen
Zeitschriftenartikel (109)
81.
Zeitschriftenartikel
14 (3), S. 199 - 222 (2004)
A Tutorial on Support Vector Regression. Statistics and Computing 82.
Zeitschriftenartikel
51 (6), S. 1003 - 1010 (2004)
Support Vector Channel Selection in BCI. IEEE Transactions on Biomedical Engineering 83.
Zeitschriftenartikel
5, S. 293 - 323 (2004)
A Compression Approach to Support Vector Model Selection. The Journal of Machine Learning Research 84.
Zeitschriftenartikel
17 (1), S. 127 - 141 (2004)
Experimentally optimal ν in support vector regression for different noise models and parameter settings. Neural networks 85.
Zeitschriftenartikel
2004, S. 377 - 382 (2004)
Statistische Lerntheorie und Empirische Inferenz. Jahrbuch der Max-Planck-Gesellschaft 86.
Zeitschriftenartikel
8 (4), S. 87 - 94 (2003)
Statistical Learning Theory, Capacity and Complexity. Complexity 87.
Zeitschriftenartikel
55 (2), S. 391 - 408 (2003)
Dealing with large Diagonals in Kernel Matrices. Annals of the Institute of Statistical Mathematics 88.
Zeitschriftenartikel
25 (5), S. 623 - 628 (2003)
Constructing descriptive and discriminative nonlinear features: Rayleigh coefficients in kernel feature spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence 89.
Zeitschriftenartikel
19 (6), S. 764 - 771 (2003)
Feature selection and transduction for prediction of molecular bioactivity for drug design. Bioinformatics 90.
Zeitschriftenartikel
3, S. 1439 - 1461 (2003)
Use of the Zero-Norm with Linear Models and Kernel Methods. The Journal of Machine Learning Research 91.
Zeitschriftenartikel
23 (3), S. 31 - 41 (2002)
Support Vector Machines and Kernel Methods: The New Generation of Learning Machines. AI Magazine 92.
Zeitschriftenartikel
24 (9), S. 1184 - 1199 (2002)
Constructing Boosting algorithms from SVMs: an application to one-class classification. IEEE Transactions on Pattern Analysis and Machine Intelligence 93.
Zeitschriftenartikel
46 (1-3), S. 161 - 190 (2002)
Training invariant support vector machines. Machine Learning 94.
Zeitschriftenartikel
47 (6), S. 2516 - 2532 (2001)
Generalization performance of regularization networks and support vector machines via entropy numbers of compact operators. IEEE Transactions on Information Theory 95.
Zeitschriftenartikel
1, S. 179 - 209 (2001)
Regularized principal manifolds. The Journal of Machine Learning Research 96.
Zeitschriftenartikel
12 (2), S. 181 - 201 (2001)
An Introduction to Kernel-Based Learning Algorithms. IEEE Transactions on Neural Networks 97.
Zeitschriftenartikel
13 (7), S. 1443 - 1471 (2001)
Estimating the support of a high-dimensional distribution. Neural computation 98.
Zeitschriftenartikel
12 (5), S. 1207 - 1245 (2000)
New Support Vector Algorithms. Neural computation 99.
Zeitschriftenartikel
10 (5), S. 1000 - 1017 (1999)
Input space versus feature space in kernel-based methods. IEEE Transactions on Neural Networks 100.
Zeitschriftenartikel
14 (3), S. 154 - 163 (1999)
Lernen mit Kernen: Support-Vektor-Methoden zur Analyse hochdimensionaler Daten. Informatik - Forschung und Entwicklung