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| 2006 | Large-scale multiclass transduction
Gärtner, T.; Le, Q.V.; Burton, S.; Smola, A.J.; Vishwanathan, V. | Conference Paper |
| 2006 | Simpler knowledge-based support vector machines
Le, Q.V.; Smola, A.J.; Gärtner, T. | Conference Paper |
| 2006 | Transductive gaussian process regression with automatic model selection
Le, Q.V.; Smola, A.J.; Gärtner, T.; Altun, Y. | Conference Paper |
| 2001 | An improved training algorithm for kernel fisher discriminants
Mika, S.; Smola, A.J.; Schoelkopf, B. | Conference Paper |
| 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 | 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 | 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 | 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 | 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 | Learning with kernels
Smola, A.J. | Dissertation |
| 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 | Quantization Functionals and Regularized Principal Manifolds
Smola, A.J.; Mika, S.; Schölkopf, B. | Research Report |
| 1998 | Semiparametric support vector and liear programming machines
Smola, A.J.; Onoda, T.; Müller, K.-R. | 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 | A tutorial on support vector regression
Smola, A.J.; Schölkopf, B. | Research Report |
| 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 | Support vector method for function approximation, regression estimation, and signal processing
Vapnik, V.; Golowich, S.; Smola, A.J. | 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 |