| | |
|---|
| 2008 | Support vector machines and kernels for computational biology
Ben-Hur, A.; Ong, C.S.; Sonnenburg, S.; Schölkopf, B.; Rätsch, G. | Journal Article |
| 2007 | Improving the Caenorhabditis elegans genome annotation using machine learning
Rätsch, G.; Sonnenburg, S.; Srinivasan, J.; Witte, H.; Müller, K.-R.; Sommer, R.-J.; Schölkopf, B. | Journal Article |
| 2007 | The need for open source software in machine learning
Sonnenburg, S.; Braun, M.L.; Ong, C.S.; Bengio, S.; Bottou, L.; Holmes, G.; LeCun, Y.; Müller, K.-R.; Pereira, F.; Rasmussen, C.E.; Rätsch, G.; Schölkopf, B.; Smola, A.; Vincent, P.; Weston, J.; Williamson, R.C. | Journal Article |
| 2006 | Classifying event-related desynchronization in EEG, ECoG and MEG signals
Hill, J.N.; Navin Lal, T.; Schröder, M.; Hinterberger, T.; Widman, G.; Elger, C.E.; Schölkopf, B.; Birbaumer, N. | Conference Paper |
| 2006 | Evaluating predictive uncertainty challenge
Quinonero-Candela, J.; Rasmussen, C.E.; Sinz, F.; Bousquet, O.; Schölkopf, B. | Conference Paper |
| 2006 | Large scale multiple kernel learning
Sonnenburg, S.; Rätsch, G.; Schäfer, C.; Schölkopf, B. | Journal Article |
| 2005 | Large scale genomic sequence SVM classifiers
Sonnenburg, S.; Rätsch, G.; Schölkopf, B. | Conference Paper |
| 2005 | RASE: Recognition of alternatively spliced exons in C.elegans
Rätsch, G.; Sonnenburg, S.; Schölkopf, B. | Conference Paper, 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 | Regularized Principal Manifolds
Smola, A.J.; Mika, S.; Schoelkopf, B.; Williamson, R.C. | Journal Article |
| 2000 | Advances in large margin classifiers
: Smola, A.J.; Bartlett, P.L.; Schölkopf, B.; Schuurmans, D. | Conference Proceedings |
| 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 | New support vector algorithms
Schölkopf, B.; Smola, A.J.; Williamson, R.; Bartlett, P.L. | Journal Article |
| 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 |
| 2000 | Time series prediction using SV regression and neural networks
Müller, k.-R.; Smola, A.J.; Rätsch, G.; Schölkopf, B.; Kohlmorgen, J.; Vapnik, V. | Conference Paper |
| 1999 | Advances in kernel methods: Support vector learning
: Schölkopf, B.; Burges, C.J.; Smola, A.J. | Conference Proceedings |
| 1999 | Classification on proximity data with LP-machines
Graepel, T.; Herbrich, R.; Schölkopf, B.; Smola, A.J.; Bartlett, P.L.; Müller, K.-R.; Obermayer, K.; Williamson, R. | Conference Paper |
| 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 | Entropy numbers, operators and support vector kernels
Williamson, R.; Smola, A.J.; Schölkopf, B. | 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 | Generalization Bounds via the Eigenvalues of the Gram Matrix
Schölkopf, B.; Shawe-Taylor, J.; Smola, A.J.; Williamson, R. | Research Report |
| 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 | KALIF - Kernel Algorithms for Learning in Feature Spaces
Schölkopf, B. | 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 | Kernel principal component analysis
Schölkopf, B.; Smola, A.J.; Müller, K.-R. | Conference Paper |
| 1999 | Lernen mit Kernen
Schölkopf, B.; Müller, K.-R.; Smola, A.J. | Journal Article |
| 1999 | Linear programs for automatic accuracy control in regression
Smola, A.J.; Schölkopf, B.; Rätsch, G. | Conference Paper |
| 1999 | Nonlinear PCA with support vector kernels
Schölkopf, B.; Smola, A.J.; Müller, K.-R. | Conference Paper |
| 1999 | Regularized principal manifolds
Smola, A.J.; Williamson, R.; Mika, S.; Schölkopf, B. | Conference Paper |
| 1999 | Semiparametric support vector and linear programming
Smola, A.J.; Friess, T.-T.; Schölkopf, B. | Conference Paper |
| 1999 | Shrinking the tube: A new support vector regression algorithm
Schölkopf, B.; Bartlett, P.L.; Smola, A.J.; Williamson, R. | Conference Paper |
| 1999 | Using support vector machines for time series prediction
Müller, K.-R.; Smola, A.J.; Rätsch, G.; Schölkopf, B.; Kohlmorgen, J.; Vapnik, V. | Conference Paper |
| 1998 | Asymptotically optimal choice of curly epsilon-loss for support vector machines
Smola, A.J.; Murata, N.; Schölkopf, B.; Müller, K.-R. | Conference Paper |
| 1998 | The connection between regularization operators and support vector kernel
Smola, A.J.; Schölkopf, B.; Müller, K.-R. | Journal Article |
| 1998 | Convex cost functions for support vector regression
Smola, A.J.; Schölkopf, B.; Müller, K.-R. | Conference Paper |
| 1998 | Entropy numbers, operators and support vector kernel
Williamson, R.; Smola, A.J.; Schölkopf, B. | Research Report |
| 1998 | Fast approximation of support vector kernel expansions, and interpretation of clustering as approximation in feature space
Schölkopf, B.; Knirsch, P.; Smola, A.J.; Burges, C.J. | Conference Paper |
| 1998 | From regularization operators to support vector kernel
Smola, A.J.; Schölkopf, B. | Conference Paper |
| 1998 | Generalization Bounds and Learning Rates for Regulized Prinzipal Manifolds
Smola, A.J.; Williamson, R.; Schölkopf, B. | Research Report |
| 1998 | Kernel PCA pattern reconstruction via approximate pre-images
Schölkopf, B.; Mika, S.; Smola, A.J.; Rätsch, G.; Müller, K.-R. | Conference Paper |
| 1998 | New support vector algorithms
Schölkopf, B.; Smola, A.J.; Williamson, R.; Bartlett, P.L. | Research Report |
| 1998 | Nonlinear component analysis as a kernel eigenvalue problem
Schölkopf, B.; Smola, A.J.; Müller, K.-R. | Journal Article |
| 1998 | On akernal-based method for pattern recognition, regression, approximation and operator inversion
Smola, A.J.; Schölkopf, B. | Journal Article |
| 1998 | Prior knowledge in support vector kernels
Schölkopf, B.; Simard, P.; Smola, A...; Vapnik, V. | Conference Paper |
| 1998 | Quantization Functionals and Regularized Principal Manifolds
Smola, A.J.; Mika, S.; Schölkopf, B. | Research Report |
| 1998 | Support vector methods in learning and feuture extraction
Schölkopf, B.; Smola, A.J.; Müller, K.-R.; Burges, C.J.; Vapnik, V. | Journal Article |
| 1998 | Support vector regression with automatic accurancy control
Schölkopf, B.; Bartlett, P.L.; Smola, A.J.; Williamson, R. | Conference Paper |
| 1998 | SVMs - a practical consequence of learning theory
Schölkopf, B. | Journal Article |
| 1998 | A tutorial on support vector regression
Smola, A.J.; Schölkopf, B. | Research Report |
| 1998 | Ubersicht durch Übersehen
Schölkopf, B. | Journal Article |
| 1997 | Comparing support vector machines with gaussian kernels to radial basis function classifiers
Schölkopf, B.; Sung, K.; Burges, C.J.; Girosi, F.; Niyogi, P.; Poggio, T.; Vapnik, V. | Journal Article |
| 1997 | Improving the accuracy and speed of support vector learning machines
Burges, C.J.; Schölkopf, B. | Conference Paper |
| 1997 | Kernel Principal Component Analysis, Predicting Time Serie with Support Vector Machines
Schölkopf, B.; Smola, A.J.; Müller, K.-R. | Conference Paper |
| 1997 | On a kernel-based method for pattern recognition, regression, approximation and operator inversion
Smola, A.J.; Schölkopf, B. | Book |
| 1997 | Predicting Time Series with Support Vector Machines
Müller, K.-R.; Smola, A.J.; Rätsch, G.; Schölkopf, B.; Kohlmorgen, J.; Vapnik, V. | Conference Paper |
| 1997 | Using Support Vector Machines for Time Series Prediction
Müller, K.-R.; Smola, A.J.; Rätsch, G.; Schölkopf, B.; Kohlmorgen, J.; Vapnik, V. | Conference Paper |
| 1982 | General cost functions for Support Vector Regression
Smola, A.J.; Schölkopf, B.; Müller, K.-R. | Conference Paper |