Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.
2006Large-scale multiclass transduction
Gärtner, T.; Le, Q.V.; Burton, S.; Smola, A.J.; Vishwanathan, V.
Conference Paper
2006Simpler knowledge-based support vector machines
Le, Q.V.; Smola, A.J.; Gärtner, T.
Conference Paper
2006Transductive gaussian process regression with automatic model selection
Le, Q.V.; Smola, A.J.; Gärtner, T.; Altun, Y.
Conference Paper
2001An improved training algorithm for kernel fisher discriminants
Mika, S.; Smola, A.J.; Schoelkopf, B.
Conference Paper
2001Regularized Principal Manifolds
Smola, A.J.; Mika, S.; Schoelkopf, B.; Williamson, R.C.
Journal Article
2000Advances in large margin classifiers
: Smola, A.J.; Bartlett, P.L.; Schölkopf, B.; Schuurmans, D.
Conference Proceedings
2000Invariant feature extraction and classification in kernel spaces
Mika, S.; Rätsch, G.; Weston, J.; Schölkopf, B.; Smola, A.J.; Müller, K.-R.
Conference Paper
2000New support vector algorithms
Schölkopf, B.; Smola, A.J.; Williamson, R.; Bartlett, P.L.
Journal Article
2000nu -Arc: Ensemble Learning in the Presence of Outliers
Rätsch, G.; Schölkopf, B.; Smola, A.J.; Müller, K.-R.; Onoda, T.; Mika, S.
Conference Paper
2000Robust Ensemble Learning for Data Mining
Rätsch, G.; Schölkopf, B.; Smola, A.J.; Mika, S.; Onoda, T.; Müller, K.-R.
Conference Paper
2000Time series prediction using SV regression and neural networks
Müller, k.-R.; Smola, A.J.; Rätsch, G.; Schölkopf, B.; Kohlmorgen, J.; Vapnik, V.
Conference Paper
1999Advances in kernel methods: Support vector learning
: Schölkopf, B.; Burges, C.J.; Smola, A.J.
Conference Proceedings
1999Classification 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
1999Engineering 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
1999Entropy numbers, operators and support vector kernels
Williamson, R.; Smola, A.J.; Schölkopf, B.
Conference Paper
1999Generalization Bounds via the Eigenvalues of the Gram Matrix
Schölkopf, B.; Shawe-Taylor, J.; Smola, A.J.; Williamson, R.
Report
1999Input 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
1999Kernel PCA and de-noising in feature spaces
Mika, S.; Schölkopf, B.; Smola, A.J.; Müller, K.-R.; Scholz, M.; Rätsch, G.
Conference Paper
1999Kernel principal component analysis
Schölkopf, B.; Smola, A.J.; Müller, K.-R.
Conference Paper
1999Lernen mit Kernen
Schölkopf, B.; Müller, K.-R.; Smola, A.J.
Journal Article
1999Linear programs for automatic accuracy control in regression
Smola, A.J.; Schölkopf, B.; Rätsch, G.
Conference Paper
1999Nonlinear PCA with support vector kernels
Schölkopf, B.; Smola, A.J.; Müller, K.-R.
Conference Paper
1999Regularized principal manifolds
Smola, A.J.; Williamson, R.; Mika, S.; Schölkopf, B.
Conference Paper
1999Semiparametric support vector and linear programming
Smola, A.J.; Friess, T.-T.; Schölkopf, B.
Conference Paper
1999Shrinking the tube: A new support vector regression algorithm
Schölkopf, B.; Bartlett, P.L.; Smola, A.J.; Williamson, R.
Conference Paper
1999Using support vector machines for time series prediction
Müller, K.-R.; Smola, A.J.; Rätsch, G.; Schölkopf, B.; Kohlmorgen, J.; Vapnik, V.
Conference Paper
1998Asymptotically optimal choice of curly epsilon-loss for support vector machines
Smola, A.J.; Murata, N.; Schölkopf, B.; Müller, K.-R.
Conference Paper
1998The connection between regularization operators and support vector kernel
Smola, A.J.; Schölkopf, B.; Müller, K.-R.
Journal Article
1998Convex cost functions for support vector regression
Smola, A.J.; Schölkopf, B.; Müller, K.-R.
Conference Paper
1998Entropy numbers, operators and support vector kernel
Williamson, R.; Smola, A.J.; Schölkopf, B.
Report
1998Fast approximation of support vector kernel expansions, and interpretation of clustering as approximation in feature spaces
Schölkopf, B.; Knirsch, P.; Smola, A.J.; Burges, C.J.
Conference Paper
1998From regularization operators to support vector kernel
Smola, A.J.; Schölkopf, B.
Conference Paper
1998Generalization Bounds and Learning Rates for Regulized Prinzipal Manifolds
Smola, A.J.; Williamson, R.; Schölkopf, B.
Report
1998Kernel PCA pattern reconstruction via approximate pre-images
Schölkopf, B.; Mika, S.; Smola, A.J.; Rätsch, G.; Müller, K.-R.
Conference Paper
1998Learning with kernels
Smola, A.J.
Dissertation
1998New support vector algorithms
Schölkopf, B.; Smola, A.J.; Williamson, R.; Bartlett, P.L.
Report
1998Nonlinear component analysis as a kernel eigenvalue problem
Schölkopf, B.; Smola, A.J.; Müller, K.-R.
Journal Article
1998On a kernal-based method for pattern recognition, regression, approximation and operator inversion
Smola, A.J.; Schölkopf, B.
Journal Article
1998Quantization Functionals and Regularized Principal Manifolds
Smola, A.J.; Mika, S.; Schölkopf, B.
Report
1998Semiparametric support vector and liear programming machines
Smola, A.J.; Onoda, T.; Müller, K.-R.
Report
1998Support vector methods in learning and feuture extraction
Schölkopf, B.; Smola, A.J.; Müller, K.-R.; Burges, C.J.; Vapnik, V.
Journal Article
1998Support vector regression with automatic accurancy control
Schölkopf, B.; Bartlett, P.L.; Smola, A.J.; Williamson, R.
Conference Paper
1998A tutorial on support vector regression
Smola, A.J.; Schölkopf, B.
Report
1997Kernel Principal Component Analysis, Predicting Time Serie with Support Vector Machines
Schölkopf, B.; Smola, A.J.; Müller, K.-R.
Conference Paper
1997On a kernel-based method for pattern recognition, regression, approximation and operator inversion
Smola, A.J.; Schölkopf, B.
Book
1997Predicting Time Series with Support Vector Machines
Müller, K.-R.; Smola, A.J.; Rätsch, G.; Schölkopf, B.; Kohlmorgen, J.; Vapnik, V.
Conference Paper
1997Support vector method for function approximation, regression estimation, and signal processing
Vapnik, V.; Golowich, S.; Smola, A.J.
Conference Paper
1997Using Support Vector Machines for Time Series Prediction
Müller, K.-R.; Smola, A.J.; Rätsch, G.; Schölkopf, B.; Kohlmorgen, J.; Vapnik, V.
Conference Paper
1982General cost functions for Support Vector Regression
Smola, A.J.; Schölkopf, B.; Müller, K.-R.
Conference Paper