Kernel PCA and De-Noising in Feature Spaces. - Sebastian Mika; Bernhard Schölkopf; Alexander J. Smola; Klaus-Robert Müller; Matthias Scholz; Gunnar Rätsch (NIPS, 1998)

Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites. - Alexander Zien; Gunnar Rätsch; Sebastian Mika; Bernhard Schölkopf; Christian Lemmen; Alexander J. Smola; Thomas Lengauer; Klaus-Robert Müller (German Conference on Bioinformatics, 1999)

Invariant Feature Extraction and Classification in Kernel Spaces. - Sebastian Mika; Gunnar Rätsch; Jason Weston; Bernhard Schölkopf; Alexander J. Smola; Klaus-Robert Müller (NIPS, 1999)

v-Arc: Ensemble Learning in the Presence of Outliers. - Gunnar Rätsch; Bernhard Schölkopf; Alexander J. Smola; Klaus-Robert Müller; Takashi Onoda; Sebastian Mika (NIPS, 1999)

Input space versus feature space in kernel-based methods. - Bernhard Schölkopf; Sebastian Mika; Christopher J. C. Burges; Phil Knirsch; Klaus-Robert Müller; Gunnar Rätsch; Alexander J. Smola (IEEE Trans. Neural Networks, 1999)

Barrier Boosting. - Gunnar Rätsch; Manfred K. Warmuth; Sebastian Mika; Takashi Onoda; Steven Lemm; Klaus-Robert Müller (COLT, 2000)

A Mathematical Programming Approach to the Kernel Fisher Algorithm. - Sebastian Mika; Gunnar Rätsch; Klaus-Robert Müller (NIPS, 2000)

Robust Ensemble Learning for Data Mining. - Gunnar Rätsch; Bernhard Schölkopf; Alexander J. Smola; Sebastian Mika; Takashi Onoda; Klaus-Robert Müller (PAKDD, 2000)

Engineering support vector machine kernels that recognize translation initiation sites. - Alexander Zien; Gunnar Rätsch; Sebastian Mika; Bernhard Schölkopf; Thomas Lengauer; Klaus-Robert Müller (Bioinform., 2000)

An improved training algorithm for kernel Fisher discriminants. - Sebastian Mika; Alexander J. Smola; Bernhard Schölkopf (AISTATS, 2001)

Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers. - Koji Tsuda; Gunnar Rätsch; Sebastian Mika; Klaus-Robert Müller (ICANN, 2001)

On the Convergence of Leveraging. - Gunnar Rätsch; Sebastian Mika; Manfred K. Warmuth (NIPS, 2001)

Regularized Principal Manifolds. - Alexander J. Smola; Sebastian Mika; Bernhard Schölkopf; Robert C. Williamson (J. Mach. Learn. Res., 2001)

An introduction to kernel-based learning algorithms. - Klaus-Robert Müller; Sebastian Mika; Gunnar Rätsch; Koji Tsuda; Bernhard Schölkopf (IEEE Trans. Neural Networks, 2001)

Kern Fisher Diskriminaten. - Sebastian Mika (2002)

Kern Fisher Diskriminanten. - Sebastian Mika (Ausgezeichnete Informatikdissertationen, 2002)

Adapting Codes and Embeddings for Polychotomies. - Gunnar Rätsch; Alexander J. Smola; Sebastian Mika (NIPS, 2002)

Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification. - Gunnar Rätsch; Sebastian Mika; Bernhard Schölkopf; Klaus-Robert Müller (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces. - Sebastian Mika; Gunnar Rätsch; Jason Weston; Bernhard Schölkopf; Alexander J. Smola; Klaus-Robert Müller (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

A kernel view of the dimensionality reduction of manifolds. - Jihun Ham; Daniel D. Lee; Sebastian Mika; Bernhard Schölkopf (ICML, 2004)

Classifying 'Drug-likeness' with Kernel-Based Learning Methods. - Klaus-Robert Müller; Gunnar Rätsch; Sören Sonnenburg; Sebastian Mika; Michael Grimm; Nikolaus Heinrich (J. Chem. Inf. Model., 2005)

Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules. - Timon Schroeter; Anton Schwaighofer; Sebastian Mika; Antonius ter Laak; Detlev Sülzle; Ursula Ganzer; Nikolaus Heinrich; Klaus-Robert Müller (J. Comput. Aided Mol. Des., 2007)

Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach. - Anton Schwaighofer; Timon Schroeter; Sebastian Mika; Julian Laub; Antonius ter Laak; Detlev Sülzle; Ursula Ganzer; Nikolaus Heinrich; Klaus-Robert Müller (J. Chem. Inf. Model., 2007)

A Probabilistic Approach to Classifying Metabolic Stability. - Anton Schwaighofer; Timon Schroeter; Sebastian Mika; Katja Hansen; Antonius ter Laak; Philip Lienau; Andreas Reichel; Nikolaus Heinrich; Klaus-Robert Müller (J. Chem. Inf. Model., 2008)

Benchmark Data Set for in Silico Prediction of Ames Mutagenicity. - Katja Hansen; Sebastian Mika; Timon Schroeter; Andreas Sutter; Antonius ter Laak; Thomas Steger-Hartmann; Nikolaus Heinrich; Klaus-Robert Müller (J. Chem. Inf. Model., 2009)

Bias-Correction of Regression Models: A Case Study on hERG Inhibition. - Katja Hansen; Fabian Rathke; Timon Schroeter; Georg Rast; Thomas Fox; Jan M. Kriegl; Sebastian Mika (J. Chem. Inf. Model., 2009)

Kernels, Pre-images and Optimization. - John C. Snyder; Sebastian Mika; Kieron Burke; Klaus-Robert Müller (Empirical Inference, 2013)