Online Learning with Kernels (2003)

by Jyrki Kivinen , Alexander J. Smola , Robert C. Williamson
Citations:2027 - 128 self

Active Bibliography

Introduction to Machine Learning – Bernhard Schölkopf
• Similarity, kernels, feature spaces • Positive definite kernels and their RKHS – Bernhard Schölkopf, Kernel Means, Representer Theorem, Training Set (x
35 A Review of Kernel Methods in Machine Learning – Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola - 2006
1 A review of RKHS methods in machine learning – Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola - 2006
473 A tutorial on support vector regression – Alex J. Smola, Bernhard Schölkopf - 2004
373 An introduction to kernel-based learning algorithms – Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf - 2001
24 Statistical Learning and Kernel Methods – Bernhard Schölkopf - 2000
10 A short introduction to learning with kernels – Bernhard Schölkopf, Alexander J. Smola - 2002
110 An introduction to boosting and leveraging – Ron Meir, Gunnar Rätsch - 2003
10 Kernel methods and their potential use in signal processing – Fernando Pérez-Cruz, Olivier Bousquet - 2004
79 Learning the Kernel with Hyperkernels – Cheng Soon Ong, Alexander J. Smola, Robert C. Williamson - 2003
Frame, Reproducing Kernel, Regularization and Learning – Alain Rakotomamonjy, Stéphane Canu - 2005
ARTICLE Communicated by Vladimir Vapnik Estimating the Support of a High-Dimensional Distribution – Bernhard Schölkopf, John C. Platt, John Shawe-taylor, Alex J. Smola, Robert C. Williamson
136 A Generalized Representer Theorem – Bernhard Schölkopf, Ralf Herbrich, Alex J. Smola - 2001
66 Gaussian processes for machine learning – Matthias Seeger - 2004
6 Kernel Principal Component Regression with EM Approach to Nonlinear Principal Components Extraction – Roman Rosipal, Leonard J. Trejo, Andrzej Cichocki - 2000
8 Trading Variance Reduction with Unbiasedness -- The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression – Masashi Sugiyama, Klaus-robert Müller, et al. - 2004
106 Kernel partial least squares regression in reproducing kernel hilbert space – Roman Rosipal, Paisley Pa Be, Leonard J. Trejo, Nello Cristianini, John Shawe-taylor, Bob Williamson - 2001
32 Regularized Principal Manifolds – Alexander J. Smola, Robert C. Williamson - 2001