Bernhard Schölkopf
Bernhard Schölkopf
Director, Max Planck Institute for Intelligent Systems; and Distinguished Amazon Scholar
Verified email at tuebingen.mpg.de
TitleCited byYear
Learning with kernels: support vector machines, regularization, optimization, and beyond
B Schölkopf, AJ Smola, F Bach
MIT press, 2002
17112*2002
A tutorial on support vector regression
AJ Smola, B Schölkopf
Statistics and computing 14 (3), 199-222, 2004
84192004
Nonlinear component analysis as a kernel eigenvalue problem
B Schölkopf, A Smola, KR Müller
Neural computation 10 (5), 1299-1319, 1998
80511998
Making large-scale SVM learning practical
T Joachims
Technical report, SFB 475: Komplexitätsreduktion in Multivariaten …, 1998
69331998
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
43762009
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
43512009
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
43512009
Estimating the support of a high-dimensional distribution
B Scholkopf, JC Platt, J Shawe-Taylor, AJ Smola, RC Williamson
40961999
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
40862001
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
39552001
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
33742004
Fisher discriminant analysis with kernels
S Mika, G Rätsch, J Weston, B Schölkopf, K Müller
Neural networks for signal processing IX, 1999
28731999
New support vector algorithms
B Schölkopf, AJ Smola, RC Williamson, PL Bartlett
Neural computation 12 (5), 1207-1245, 2000
27562000
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, 2005
22012005
Advances in kernel methods: support vector learning
B Schölkopf, A Burges, C.J.C.: Smola
The MIT press, 1999
21541999
Support vector machines
MA Hearst, ST Dumais, E Osuna, J Platt, B Scholkopf
IEEE Intelligent Systems and their applications 13 (4), 18-28, 1998
21191998
Advances in kernel methods support vector learning
B Schèolkopf, CJC Burges, AJ Smola
Cambridge, Mass., MIT Press, 1999
21131999
Kernel principal component analysis
B Schölkopf, A Smola, KR Müller
International conference on artificial neural networks, 583-588, 1997
19281997
Large scale multiple kernel learning
S Sonnenburg, G Rätsch, C Schäfer, B Schölkopf
Journal of Machine Learning Research 7 (Jul), 1531-1565, 2006
14682006
Input space versus feature space in kernel-based methods
B Schölkopf, S Mika, CJC Burges, P Knirsch, KR Müller, G Rätsch, ...
IEEE transactions on neural networks 10 (5), 1000-1017, 1999
14211999
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