Estimating the Support of a High-Dimensional Distribution (1999)

by Bernhard Schölkopf , John C. Platt , John Shawe-taylor , Alex J. Smola , Robert C. Williamson
Citations:501 - 32 self

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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
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
• Similarity, kernels, feature spaces • Positive definite kernels and their RKHS – Bernhard Schölkopf, Kernel Means, Representer Theorem, Training Set (x
Introduction to Machine Learning – Bernhard Schölkopf
136 Training Invariant Support Vector Machines – Dennis DeCoste, Bernhard Schölkopf, Nello Cristianini - 2002
10 A short introduction to learning with kernels – Bernhard Schölkopf, Alexander J. Smola - 2002
1 A review of RKHS methods in machine learning – Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola - 2006
28 SV Estimation of a Distribution's Support – Bernhard Schölkopf, Robert C. Williamson, Alex Smola, John Shawe-Taylor - 1999
24 Statistical Learning and Kernel Methods – Bernhard Schölkopf - 2000
322 New Support Vector Algorithms – Bernhard Schölkopf, Alex J. Smola, Robert C. Williamson, Peter L. Bartlett - 2000
35 A Review of Kernel Methods in Machine Learning – Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola - 2006
88 Everything Old Is New Again: A Fresh Look at Historical Approaches – Ryan Michael Rifkin - 2002
2272 A tutorial on support vector machines for pattern recognition – Christopher J. C. Burges - 1998
Feature Selection for Support Vector . . . – Holger Fröhlich - 2002
2029 Online Learning with Kernels – Jyrki Kivinen, Alexander J. Smola, Robert C. Williamson - 2003
12 Statistical Learning and Kernel Methods in Bioinformatics – Bernhard Schölkopf, Isabelle Guyon, Jason Weston - 2000
3 Learning with rigorous support vector machines – Jinbo Bi, Vladimir N. Vapnik - 2003
87 Latent Semantic Kernels – Nello Cristianini, John Shawe-Taylor, HUMA LODHI