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Karsten Borgwardt
Tytuł
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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
58312012
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
27242006
Weisfeiler-lehman graph kernels.
N Shervashidze, P Schweitzer, EJ Van Leeuwen, K Mehlhorn, ...
Journal of Machine Learning Research 12 (9), 2011
25072011
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
21902006
Integrating structured biological data by kernel maximum mean discrepancy
KM Borgwardt, A Gretton, MJ Rasch, HP Kriegel, B Schölkopf, AJ Smola
Bioinformatics 22 (14), e49-e57, 2006
17402006
Graph kernels
SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt
The Journal of Machine Learning Research 11, 1201-1242, 2010
14502010
Protein function prediction via graph kernels
KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ...
Bioinformatics 21 (suppl_1), i47-i56, 2005
13532005
Shortest-path kernels on graphs
KM Borgwardt, HP Kriegel
Fifth IEEE international conference on data mining (ICDM'05), 8 pp., 2005
13432005
Efficient graphlet kernels for large graph comparison
N Shervashidze, SVN Vishwanathan, T Petri, K Mehlhorn, K Borgwardt
Artificial intelligence and statistics, 488-495, 2009
12832009
1,135 genomes reveal the global pattern of polymorphism in Arabidopsis thaliana
C Alonso-Blanco, J Andrade, C Becker, F Bemm, J Bergelson, ...
Cell 166 (2), 481-491, 2016
12162016
Whole-genome sequencing of multiple Arabidopsis thaliana populations
J Cao, K Schneeberger, S Ossowski, T Günther, S Bender, J Fitz, ...
Nature genetics 43 (10), 956-963, 2011
10972011
Covariate shift by kernel mean matching
A Gretton, A Smola, J Huang, M Schmittfull, K Borgwardt, B Schölkopf
8252008
Spontaneous epigenetic variation in the Arabidopsis thaliana methylome
C Becker, J Hagmann, J Müller, D Koenig, O Stegle, K Borgwardt, ...
Nature 480 (7376), 245-249, 2011
7822011
Epigenomic diversity in a global collection of Arabidopsis thaliana accessions
T Kawakatsu, SC Huang, F Jupe, E Sasaki, RJ Schmitz, MA Urich, ...
Cell 166 (2), 492-505, 2016
6652016
Feature Selection via Dependence Maximization.
L Song, A Smola, A Gretton, J Bedo, K Borgwardt
Journal of Machine Learning Research 13 (5), 2012
4952012
The genome of the simian and human malaria parasite Plasmodium knowlesi
A Pain, U Böhme, AE Berry, K Mungall, RD Finn, AP Jackson, T Mourier, ...
Nature 455 (7214), 799-803, 2008
4902008
Supervised feature selection via dependence estimation
L Song, A Smola, A Gretton, KM Borgwardt, J Bedo
Proceedings of the 24th international conference on Machine learning, 823-830, 2007
4662007
The evaluation of tools used to predict the impact of missense variants is hindered by two types of circularity
DG Grimm, CA Azencott, F Aicheler, U Gieraths, DG MacArthur, ...
Human mutation 36 (5), 513-523, 2015
3882015
Arabidopsis Defense against Botrytis cinerea: Chronology and Regulation Deciphered by High-Resolution Temporal Transcriptomic Analysis
O Windram, P Madhou, S McHattie, C Hill, R Hickman, E Cooke, ...
The Plant Cell 24 (9), 3530-3557, 2012
3802012
Early prediction of circulatory failure in the intensive care unit using machine learning
SL Hyland, M Faltys, M Hüser, X Lyu, T Gumbsch, C Esteban, C Bock, ...
Nature medicine 26 (3), 364-373, 2020
3532020
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