2005 |
18 | EE | Klaus-Robert Müller,
Gunnar Rätsch,
Sören Sonnenburg,
Sebastian Mika,
Michael Grimm,
Nikolaus Heinrich:
Classifying 'Drug-likeness' with Kernel-Based Learning Methods.
Journal of Chemical Information and Modeling 45(2): 249-253 (2005) |
2004 |
17 | EE | Jihun Ham,
Daniel D. Lee,
Sebastian Mika,
Bernhard Schölkopf:
A kernel view of the dimensionality reduction of manifolds.
ICML 2004 |
2003 |
16 | EE | Sebastian Mika,
Gunnar Rätsch,
Jason Weston,
Bernhard Schölkopf,
Alex J. Smola,
Klaus-Robert Müller:
Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces.
IEEE Trans. Pattern Anal. Mach. Intell. 25(5): 623-633 (2003) |
2002 |
15 | EE | Gunnar Rätsch,
Alexander J. Smola,
Sebastian Mika:
Adapting Codes and Embeddings for Polychotomies.
NIPS 2002: 513-520 |
14 | EE | Gunnar Rätsch,
Sebastian Mika,
Bernhard Schölkopf,
Klaus-Robert Müller:
Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification.
IEEE Trans. Pattern Anal. Mach. Intell. 24(9): 1184-1199 (2002) |
2001 |
13 | EE | Koji Tsuda,
Gunnar Rätsch,
Sebastian Mika,
Klaus-Robert Müller:
Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers.
ICANN 2001: 331-338 |
12 | EE | Gunnar Rätsch,
Sebastian Mika,
Manfred K. Warmuth:
On the Convergence of Leveraging.
NIPS 2001: 487-494 |
11 | EE | Alex J. Smola,
Sebastian Mika,
Bernhard Schölkopf,
Robert C. Williamson:
Regularized Principal Manifolds.
Journal of Machine Learning Research 1: 179-209 (2001) |
2000 |
10 | | Gunnar Rätsch,
Manfred K. Warmuth,
Sebastian Mika,
Takashi Onoda,
Steven Lemm,
Klaus-Robert Müller:
Barrier Boosting.
COLT 2000: 170-179 |
9 | | Sebastian Mika,
Gunnar Rätsch,
Klaus-Robert Müller:
A Mathematical Programming Approach to the Kernel Fisher Algorithm.
NIPS 2000: 591-597 |
8 | | Gunnar Rätsch,
Bernhard Schölkopf,
Alex J. Smola,
Sebastian Mika,
Takashi Onoda,
Klaus-Robert Müller:
Robust Ensemble Learning for Data Mining.
PAKDD 2000: 341-344 |
7 | | Alexander Zien,
Gunnar Rätsch,
Sebastian Mika,
Bernhard Schölkopf,
Thomas Lengauer,
Klaus-Robert Müller:
Engineering support vector machine kernels that recognize translation initiation sites.
Bioinformatics 16(9): 799-807 (2000) |
1999 |
6 | EE | Alex J. Smola,
Robert C. Williamson,
Sebastian Mika,
Bernhard Schölkopf:
Regularized Principal Manifolds.
EuroCOLT 1999: 214-229 |
5 | | Alexander Zien,
Gunnar Rätsch,
Sebastian Mika,
Bernhard Schölkopf,
Christian Lemmen,
Alex J. Smola,
Thomas Lengauer,
Klaus-Robert Müller:
Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites.
German Conference on Bioinformatics 1999: 37-43 |
4 | EE | Sebastian Mika,
Gunnar Rätsch,
Jason Weston,
Bernhard Schölkopf,
Alex J. Smola,
Klaus-Robert Müller:
Invariant Feature Extraction and Classification in Kernel Spaces.
NIPS 1999: 526-532 |
3 | EE | Gunnar Rätsch,
Bernhard Schölkopf,
Alex J. Smola,
Klaus-Robert Müller,
Takashi Onoda,
Sebastian Mika:
v-Arc: Ensemble Learning in the Presence of Outliers.
NIPS 1999: 561-567 |
2 | EE | Bernhard Schölkopf,
Sebastian Mika,
Christopher J. C. Burges,
Phil Knirsch,
Klaus-Robert Müller,
Gunnar Rätsch,
Alexander J. Smola:
Input space versus feature space in kernel-based methods.
IEEE Transactions on Neural Networks 10(5): 1000-1017 (1999) |
1998 |
1 | EE | Sebastian Mika,
Bernhard Schölkopf,
Alex J. Smola,
Klaus-Robert Müller,
Matthias Scholz,
Gunnar Rätsch:
Kernel PCA and De-Noising in Feature Spaces.
NIPS 1998: 536-542 |