Sebastian Mika

Publication Activity (10 Years)

Years Active: 1998-2013
Publications (10 Years): 0

Top Venues

Empirical Inference

Tecnical University of Berlin, Germany (PHD)

Education History

Tecnical University of Berlin, Germany

PHD

Publications

John C. Snyder, Sebastian Mika, Kieron Burke, Klaus-Robert Müller
Kernels, Pre-images and Optimization. Empirical Inference (2013)
Katja Hansen, Sebastian Mika, Timon Schroeter, Andreas Sutter, Antonius ter Laak, Thomas Steger-Hartmann, Nikolaus Heinrich, Klaus-Robert Müller
Benchmark Data Set for in Silico Prediction of Ames Mutagenicity. J. Chem. Inf. Model. 49 (9) (2009)
Katja Hansen, Fabian Rathke, Timon Schroeter, Georg Rast, Thomas Fox, Jan M. Kriegl, Sebastian Mika
Bias-Correction of Regression Models: A Case Study on hERG Inhibition. J. Chem. Inf. Model. 49 (6) (2009)
Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Katja Hansen, Antonius ter Laak, Philip Lienau, Andreas Reichel, Nikolaus Heinrich, Klaus-Robert Müller
A Probabilistic Approach to Classifying Metabolic Stability. J. Chem. Inf. Model. 48 (4) (2008)
Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller
Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules. J. Comput. Aided Mol. Des. 21 (12) (2007)
Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Julian Laub, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller
Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach. J. Chem. Inf. Model. 47 (2) (2007)
Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller
Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules. J. Comput. Aided Mol. Des. 21 (9) (2007)
Klaus-Robert Müller, Gunnar Rätsch, Sören Sonnenburg, Sebastian Mika, Michael Grimm, Nikolaus Heinrich
Classifying 'Drug-likeness' with Kernel-Based Learning Methods. J. Chem. Inf. Model. 45 (2) (2005)
Jihun Ham, Daniel D. Lee, Sebastian Mika, Bernhard Schölkopf
A kernel view of the dimensionality reduction of manifolds. ICML (2004)
Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alexander 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) (2003)
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) (2002)
Gunnar Rätsch, Alexander J. Smola, Sebastian Mika
Adapting Codes and Embeddings for Polychotomies. NIPS (2002)
Sebastian Mika
Kern Fisher Diskriminanten. Ausgezeichnete Informatikdissertationen (2002)
Koji Tsuda, Gunnar Rätsch, Sebastian Mika, Klaus-Robert Müller
Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers. ICANN (2001)
Alexander J. Smola, Sebastian Mika, Bernhard Schölkopf, Robert C. Williamson
Regularized Principal Manifolds. J. Mach. Learn. Res. 1 (2001)
Gunnar Rätsch, Sebastian Mika, Manfred K. Warmuth
On the Convergence of Leveraging. NIPS (2001)
Sebastian Mika, Alexander J. Smola, Bernhard Schölkopf
An improved training algorithm for kernel Fisher discriminants. AISTATS (2001)
Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf
An introduction to kernel-based learning algorithms. IEEE Trans. Neural Networks 12 (2) (2001)
Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Thomas Lengauer, Klaus-Robert Müller
Engineering support vector machine kernels that recognize translation initiation sites. Bioinform. 16 (9) (2000)
Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Sebastian Mika, Takashi Onoda, Klaus-Robert Müller
Robust Ensemble Learning for Data Mining. PAKDD (2000)
Gunnar Rätsch, Manfred K. Warmuth, Sebastian Mika, Takashi Onoda, Steven Lemm, Klaus-Robert Müller
Barrier Boosting. COLT (2000)
Sebastian Mika, Gunnar Rätsch, Klaus-Robert Müller
A Mathematical Programming Approach to the Kernel Fisher Algorithm. NIPS (2000)
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 Trans. Neural Networks 10 (5) (1999)
Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller, Takashi Onoda, Sebastian Mika
v-Arc: Ensemble Learning in the Presence of Outliers. NIPS (1999)
Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller
Invariant Feature Extraction and Classification in Kernel Spaces. NIPS (1999)
Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Christian Lemmen, Alexander J. Smola, Thomas Lengauer, Klaus-Robert Müller
Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites. German Conference on Bioinformatics (1999)
Alexander J. Smola, Robert C. Williamson, Sebastian Mika, Bernhard Schölkopf
Regularized Principal Manifolds. EuroCOLT (1999)
Sebastian Mika, Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller, Matthias Scholz, Gunnar Rätsch
Kernel PCA and De-Noising in Feature Spaces. NIPS (1998)

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Publication Activity (10 Years)

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Sebastian Mika