Bernhard Schölkopf

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Alex SmolaBoson AIPotvrđena adresa e-pošte na smola.org
Dominik JanzingAmazon Development Center, TuebingenPotvrđena adresa e-pošte na amazon.com
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyPotvrđena adresa e-pošte na tu-berlin.de
Arthur GrettonGatsby Computational Neuroscience Unit and Google DeepmindPotvrđena adresa e-pošte na gatsby.ucl.ac.uk
Gunnar RätschProfessor, ETH ZürichPotvrđena adresa e-pošte na inf.ethz.ch
Olivier ChapelleGooglePotvrđena adresa e-pošte na chapelle.cc
Stefan BauerHelmholtz | TUM | CIFARPotvrđena adresa e-pošte na tum.de
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John C. PlattGooglePotvrđena adresa e-pošte na google.com
Jonas PetersProfessor of Statistics, ETH ZurichPotvrđena adresa e-pošte na stat.math.ethz.ch
Sebastian MikaPotvrđena adresa e-pošte na sebastianmika.info
Francesco LocatelloAssistant Professor, ISTAPotvrđena adresa e-pošte na ista.ac.at
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Potvrđena adresa e-pošte na cmu.edu
Robert C. WilliamsonUniversity of TübingenPotvrđena adresa e-pošte na uni-tuebingen.de
Michael HirschMax Planck Institute for Intelligent Systems TübingenPotvrđena adresa e-pošte na tuebingen.mpg.de
Olivier BousquetGooglePotvrđena adresa e-pošte na m4x.org
Moritz Grosse-WentrupUniversity of ViennaPotvrđena adresa e-pošte na univie.ac.at
Krikamol MuandetCISPA - Helmholtz Center for Information SecurityPotvrđena adresa e-pošte na cispa.de
Karsten BorgwardtDirector, Max Planck Institute of BiochemistryPotvrđena adresa e-pošte na biochem.mpg.de
Jeremy HillNational Center for Adaptive Neurotechnologies; Stratton VA Medical Center, Albany, NY, USAPotvrđena adresa e-pošte na med.cornell.edu

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Bernhard Schölkopf

Director, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETH

Potvrđena adresa e-pošte na tuebingen.mpg.de

Machine Learning Causal Inference Artificial Intelligence Computational Photography Statistics


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Learning with kernels: support vector machines, regularization, optimization, and beyond B Schölkopf, AJ Smola MIT press, 2002	25251*	2002
A tutorial on support vector regression AJ Smola, B Schölkopf Statistics and computing 14, 199-222, 2004	16178	2004
Nonlinear component analysis as a kernel eigenvalue problem B Schölkopf, A Smola, KR Müller Neural computation 10 (5), 1299-1319, 1998	11209	1998
Semi-supervised learning O Chapelle, B Schölkopf, A Zien MIT Press, 2006	8058*	2006
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	7701	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	7232	1998
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	6441	2012
Learning with local and global consistency D Zhou, O Bousquet, T Lal, J Weston, B Schölkopf Advances in neural information processing systems 16, 2003	5651	2003
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	5072*	2001
Advances in kernel methods: support vector learning B Schölkopf, A Burges, C.J.C.: Smola The MIT press, 1999	4463*	1999
Kernel principal component analysis B Schölkopf, A Smola, KR Müller International conference on artificial neural networks, 583-588, 1997	3870	1997
Fisher discriminant analysis with kernels S Mika, G Rätsch, J Weston, B Schölkopf, K Müller Neural networks for signal processing IX, 1999	3843	1999
New support vector algorithms B Schölkopf, AJ Smola, RC Williamson, PL Bartlett Neural computation 12 (5), 1207-1245, 2000	3633	2000
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	3309	1999
Kernel methods in machine learning T Hofmann, B Schölkopf, AJ Smola Annals of Statistics 36 (3), 1171-1220, 2008	3046	2008
A kernel method for the two-sample-problem A Gretton, K Borgwardt, M Rasch, B Schölkopf, A Smola Advances in neural information processing systems 19, 2006	2838	2006
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	2830	2005
Elements of causal inference: foundations and learning algorithms J Peters, D Janzing, B Schölkopf The MIT Press, 2017	2496	2017
A generalized representer theorem B Schölkopf, R Herbrich, AJ Smola International conference on computational learning theory, 416-426, 2001	2406	2001
Correcting sample selection bias by unlabeled data J Huang, A Gretton, K Borgwardt, B Schölkopf, A Smola Advances in neural information processing systems 19, 2006	2284	2006

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