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| 2009 | How wrong can we get? A review of machine learning approaches and error bars
Schwaighofer, A.; Schroeter, T.; Mika, S.; Blanchard, G. | Journal Article |
| 2008 | A probabilistic approach to classifying metabolic stability
Schwaighofer, A.; Schröter, T.; Mika, S.; Hansen, K.; Laak, A. ter; Lienau, P.; Reichel, A.; Heinrich, N.; Müller, K.-R. | Journal Article |
| 2007 | Accurate solubility prediction with error bars for electrolytes: A machine learning approach
Schwaighofer, A.; Schroeter, T.; Mika, S.; Laub, J.; Laak, A. ter; Sülzle, D.; Ganzer, U.; Heinrich, N.; Müller, K.-R. | Journal Article |
| 2007 | Estimating the domain of applicability for machine learning QSAR models: A study on aqueous solubility of drug discovery molecules
Schroeter, T.S.; Schwaighofer, A.; Mika, S.; Laak, A. ter; Suelzle, D.; Ganzer, U.; Heinrich, N.; Müller, K.-R. | Journal Article |
| 2007 | Machine learning models for lipophilicity and their domain of applicability
Schroeter, T.; Schwaighofer, A.; Mika, S.; Laak, A. ter; Sülzle, D.; Ganzer, U.; Heinrich, N.; Müller, K.-R. | Journal Article |
| 2007 | Predicting error bars for QSAR models
Schroeter, T.; Schwaighofer, A.; Mika, S.; Ter Laak, A.; Suelzle, D.; Ganzer, U.; Heinrich, N.; Müller, K.-R. | Conference Paper |
| 2007 | Predicting lipophilicity of drug-discovery molecules using Gaussian process models
Schroeter, T.S.; Schwaighofer, A.; Mika, S.; Ter Laak, A.; Sülzle, D.; Ganzer, U.; Heinrich, N.; Müller, K.-R. | Journal Article |
| 2005 | Classifying 'drug-likeness' with kernel-based learning methods
Müller, K.-R.; Rätsch, G.; Sonnenburg, S.; Mika, S.; Grimm, M.; Heinrich, N. | Journal Article |
| 2004 | A kernel view of the dimensionality reduction of manifolds
Ham, J.; Lee, D.D.; Mika, S.; Schölkopf, B. | Conference Paper |
| 2003 | Constructing descriptive and discriminative nonlinear features - Rayleigh coefficients in kernel feature spaces
Mika, S.; Ratsch, G.; Weston, J.; Schölkopf, B.; Smola, A.; Müller, K.-R. | Journal Article |
| 2002 | Constructing boosting algorithms from SVMs
Ratsch, G.; Mika, S.; Schölkopf, B.; Müller, K.-R. | Journal Article |
| 2001 | An improved training algorithm for kernel fisher discriminants
Mika, S.; Smola, A.J.; Schoelkopf, B. | Conference Paper |
| 2001 | An Introduction to Kernel-Based Learning Algorithms
Müller, K.-R.; Mika, S.; Rätsch, G.; Tsuda, K.; Schoelkopf, B. | Journal Article |
| 2001 | Learning to predict the leave-one-out error of kernel based classifiers
Tsuda, K.; Rätsch, G.; Mika, S.; Müller, K.-R. | Conference Paper |
| 2001 | A mathematical programming approach to the Kernel Fisher algorithm
Mika, S.; Rätsch, G.; Müller, K.-R. | Conference Paper |
| 2001 | On the convergence of leveraging
Rätsch, G.; Mika, S.; Warmuth, M. | Research Report |
| 2001 | Regularized Principal Manifolds
Smola, A.J.; Mika, S.; Schoelkopf, B.; Williamson, R.C. | Journal Article |
| 2000 | Barrier Boosting
Rätsch, G.; Warmuth, M.; Mika, S.; Onoda, T.; Lemm, S.; Müller, K.-R. | Conference Paper |
| 2000 | Engineering support vector machine kernels that recognize translation initiation sites
Zien, A.; Rätsch, G.; Mika, S.; Schölkopf, B.; Lengauer, T.; Müller, K.-R. | Journal Article |
| 2000 | An improved training algorithm for kernel fisher discriminants
Mika, S.; Smola, A.; Schölkopf, B. | Research Report |
| 2000 | Invariant feature extraction and classification in kernel spaces
Mika, S.; Rätsch, G.; Weston, J.; Schölkopf, B.; Smola, A.J.; Müller, K.-R. | Conference Paper |
| 2000 | nu -Arc: Ensemble Learning in the Presence of Outliers
Rätsch, G.; Schölkopf, B.; Smola, A.J.; Müller, K.-R.; Onoda, T.; Mika, S. | Conference Paper |
| 2000 | Robust Ensemble Learning for Data Mining
Rätsch, G.; Schölkopf, B.; Smola, A.J.; Mika, S.; Onoda, T.; Müller, K.-R. | Conference Paper |
| 2000 | SVM and boosting. One class
Rätsch, G.; Schölkopf, B.; Mika, S.; Müller, K.-R. | Research Report |
| 1999 | Engineering support vector machines kernels that recognize translation initiation sites in DNA
Zien, A.; Rätsch, G.; Mika, S.; Schölkopf, B.; Lemmen, C.; Smola, A.J.; Lengauer, T.; Müller, K.-R. | Conference Paper |
| 1999 | Fisher discriminant analysis with kernels
Mika, S.; Ratsch, G.; Weston, J.; Schölkopf, B.; Müller, K.-R. | Conference Paper |
| 1999 | Fisher discrminant analysis with kerneös
Mika, S.; Rätsch, G.; Schölkopf, B.; Müller, K.-R. | Conference Paper |
| 1999 | Input space vs. feature space in kernel-based methods
Schölkopf, B.; Mika, S.; Burges, C.J.; Knirsch, P.; Müller, K.-R.; Rätsch, G.; Smola, A.J. | Journal Article |
| 1999 | Kernel PCA and de-noising in feature spaces
Mika, S.; Schölkopf, B.; Smola, A.J.; Müller, K.-R.; Scholz, M.; Rätsch, G. | Conference Paper |
| 1999 | Regularized principal manifolds
Smola, A.J.; Williamson, R.; Mika, S.; Schölkopf, B. | Conference Paper |
| 1998 | Kernel PCA pattern reconstruction via approximate pre-images
Schölkopf, B.; Mika, S.; Smola, A.J.; Rätsch, G.; Müller, K.-R. | Conference Paper |
| 1998 | Quantization Functionals and Regularized Principal Manifolds
Smola, A.J.; Mika, S.; Schölkopf, B. | Research Report |