Bernhard Schölkopf
Bernhard Schölkopf
Director, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and Distinguished
Verified email at tuebingen.mpg.de
Title
Cited by
Cited by
Year
Learning with kernels: support vector machines, regularization, optimization, and beyond
B Schölkopf, AJ Smola
MIT press, 2002
20827*2002
A tutorial on support vector regression
AJ Smola, B Schölkopf
Statistics and computing 14 (3), 199-222, 2004
113662004
Nonlinear component analysis as a kernel eigenvalue problem
B Schölkopf, A Smola, KR Müller
Neural computation 10 (5), 1299-1319, 1998
60931998
Semi-supervised learning
O Chapelle, B Schölkopf, A Zien
MIT Press, 2006
5931*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
58932009
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
58932009
Estimating the support of a high-dimensional distribution
B Scholkopf, JC Platt, J Shawe-Taylor, AJ Smola, RC Williamson
53911999
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
53692001
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
4518*2001
Nonlinear component analysis as a kernel eigenvalue problem
S Lim
44612011
Learning with local and global consistency
D Zhou, O Bousquet, TN Lal, J Weston, B Schölkopf
Advances in neural information processing systems, 321-328, 2004
43622004
Fisher discriminant analysis with kernels
S Mika, G Rätsch, J Weston, B Schölkopf, K Müller
Neural networks for signal processing IX, 1999
34911999
Support vector machines
MA Hearst, ST Dumais, E Osuna, J Platt, B Scholkopf
IEEE Intelligent Systems and their applications 13 (4), 18-28, 1998
34211998
New support vector algorithms
B Schölkopf, AJ Smola, RC Williamson, PL Bartlett
Neural computation 12 (5), 1207-1245, 2000
32212000
Kernel principal component analysis
B Schölkopf, A Smola, KR Müller
International conference on artificial neural networks, 583-588, 1997
25531997
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
25362005
Advances in kernel methods support vector learning
B Schèolkopf, CJC Burges, AJ Smola
Cambridge, Mass., MIT Press, 1999
2459*1999
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
23602012
Advances in kernel methods: support vector learning
B Schölkopf, A Burges, C.J.C.: Smola
The MIT press, 1999
2355*1999
Kernel methods in machine learning
T Hofmann, B Schölkopf, AJ Smola
Annals of Statistics 36 (3), 1171-1220, 2008
18152008
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