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Bernhard Schölkopf
Bernhard Schölkopf
Director, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and Distinguished
Verified email at tuebingen.mpg.de
Title
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Cited by
Year
Learning with kernels: support vector machines, regularization, optimization, and beyond
B Schölkopf, AJ Smola
MIT press, 2002
22182*2002
A tutorial on support vector regression
AJ Smola, B Schölkopf
Statistics and computing 14 (3), 199-222, 2004
131292004
Nonlinear component analysis as a kernel eigenvalue problem
B Schölkopf, A Smola, KR Müller
Neural computation 10 (5), 1299-1319, 1998
100761998
Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews]
O Chapelle, B Scholkopf, A Zien
IEEE Transactions on Neural Networks 20 (3), 542-542, 2009
66792009
Semi-supervised learning
O Chapelle, B Schölkopf, A Zien
MIT Press, 2006
6646*2006
Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews]
O Chapelle, B Scholkopf, A Zien
IEEE Transactions on Neural Networks 20 (3), 542-542, 2009
65962009
Estimating the support of a high-dimensional distribution
B Schölkopf, JC Platt, J Shawe-Taylor, AJ Smola, RC Williamson
Neural computation 13 (7), 1443-1471, 2001
61362001
Learning with local and global consistency
D Zhou, O Bousquet, T Lal, J Weston, B Schölkopf
Advances in neural information processing systems 16, 2003
48452003
An introduction to kernel-based learning algorithms
KR Muller, S Mika, G Ratsch, K Tsuda, B Scholkopf
IEEE Transactions on Neural Networks 12 (2), 181-201, 2001
4724*2001
Support vector machines
MA Hearst, ST Dumais, E Osuna, J Platt, B Scholkopf
IEEE Intelligent Systems and their applications 13 (4), 18-28, 1998
42861998
Advances in kernel methods: support vector learning
B Schölkopf, A Burges, C.J.C.: Smola
The MIT press, 1999
4175*1999
Fisher discriminant analysis with kernels
S Mika, G Rätsch, J Weston, B Schölkopf, K Müller
Neural networks for signal processing IX, 1999
37151999
A kernel two-sample test
A Gretton, KM Borgwardt, MJ Rasch, B Schölkopf, A Smola
The Journal of Machine Learning Research 13 (1), 723-773, 2012
35672012
New support vector algorithms
B Schölkopf, AJ Smola, RC Williamson, PL Bartlett
Neural computation 12 (5), 1207-1245, 2000
34502000
Kernel principal component analysis
B Schölkopf, A Smola, KR Müller
International conference on artificial neural networks, 583-588, 1997
28911997
Advances in kernel methods support vector learning
B Schèolkopf, CJC Burges, AJ Smola
Cambridge, Mass., MIT Press, 1999
2760*1999
A gene expression map of Arabidopsis thaliana development
M Schmid, TS Davison, SR Henz, UJ Pape, M Demar, M Vingron, ...
Nature genetics 37 (5), 501-506, 2005
26692005
Kernel methods in machine learning
T Hofmann, B Schölkopf, AJ Smola
Annals of Statistics 36 (3), 1171-1220, 2008
22312008
Support vector method for novelty detection
B Schölkopf, RC Williamson, A Smola, J Shawe-Taylor, J Platt
Advances in neural information processing systems 12, 1999
21651999
A generalized representer theorem
B Schölkopf, R Herbrich, AJ Smola
International conference on computational learning theory, 416-426, 2001
18732001
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