Thomas Gärtner

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Stefan WrobelFraunhofer IAIS and University of BonnVerified email at iais.fraunhofer.de
Peter FlachProfessor of Artificial Intelligence, Department of Computer Science, University of BristolVerified email at bristol.ac.uk
Alex SmolaBoson AIVerified email at smola.org
Olana MissuraGoogle GmbHVerified email at google.com
Dino OglicAstraZeneca CambridgeVerified email at astrazeneca.com
Mario BoleyMonash UniversityVerified email at monash.edu
Daniel PauratTelekom Deutschland TechnikVerified email at telekom.de
Shankar VembuVerified email at argmix.com
Roman GarnettWashington University in St. LouisVerified email at wustl.edu
John LloydProfessor Emeritus of Computer Science, The Australian National UniversityVerified email at cecs.anu.edu.au
Jonathan HirstProfessor of Computational Chemistry, University of NottinghamVerified email at nottingham.ac.uk
Quoc V. LeResearch Scientist, GoogleVerified email at stanford.edu
Maximilian ThiessenPhD student, TU WienVerified email at tuwien.ac.at
Jürgen BajorathProfessor of Life Science Informatics, University of BonnVerified email at bit.uni-bonn.de
Adam KowalczykPrincipal Scientist, National ICT AustraliaVerified email at unimelb.edu.au
Ulf BrefeldLeuphana Universität LüneburgVerified email at leuphana.de
Michael KampInstitute for AI in Medicine (IKIM) at UK Essen and Ruhr-University BochumVerified email at uk-essen.de
Kurt DriessensAssociate Professor, Maastricht UniversityVerified email at maastrichtuniversity.nl
Claudio LuccheseFull Professor, Ca' Foscari University of VeniceVerified email at unive.it
Tobias SchefferUniversity of Potsdam, GermanyVerified email at cs.uni-potsdam.de

Thomas Gärtner

TU Wien (Technical University of Vienna)

Verified email at tuwien.ac.at - Homepage

Machine Learning Data Mining


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On graph kernels: Hardness results and efficient alternatives T Gärtner, P Flach, S Wrobel Learning Theory and Kernel Machines: 16th Annual Conference on Learning …, 2003	1222	2003
Multi-instance kernels T Gärtner, PA Flach, A Kowalczyk, AJ Smola ICML 2 (3), 7, 2002	700	2002
A survey of kernels for structured data T Gärtner ACM SIGKDD explorations newsletter 5 (1), 49-58, 2003	635	2003
Cyclic pattern kernels for predictive graph mining T Horváth, T Gärtner, S Wrobel Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	444	2004
Expressivity versus efficiency of graph kernels J Ramon, T Gärtner Proceedings of the first international workshop on mining graphs, trees and …, 2003	342	2003
Efficient co-regularised least squares regression U Brefeld, T Gärtner, T Scheffer, S Wrobel Proceedings of the 23rd international conference on Machine learning, 137-144, 2006	231	2006
Kernels and distances for structured data T Gärtner, JW Lloyd, PA Flach Machine Learning 57, 205-232, 2004	212	2004
Label ranking algorithms: A survey S Vembu, T Gärtner Preference learning, 45-64, 2010	171	2010
Player modeling for intelligent difficulty adjustment O Missura, T Gärtner Discovery Science: 12th International Conference, DS 2009, Porto, Portugal …, 2009	142	2009
Kernels for structured data T Gärtner World Scientific Pub Co Inc, 2009	140	2009
Direct local pattern sampling by efficient two-step random procedures M Boley, C Lucchese, D Paurat, T Gärtner Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	111	2011
Exponential and geometric kernels for graphs T Gartner NIPS^* 02 Workshop on Unreal Data: Principles of Modeling Nonvectorial Data, 2002	99	2002
Kernels for structured data T Gärtner, JW Lloyd, PA Flach Inductive Logic Programming: 12th International Conference, ILP 2002 Sydney …, 2003	98	2003
Graph kernels and gaussian processes for relational reinforcement learning T Gärtner, K Driessens, J Ramon Inductive Logic Programming: 13th International Conference, ILP 2003, Szeged …, 2003	85	2003
Support-vector-machine-based ranking significantly improves the effectiveness of similarity searching using 2D fingerprints and multiple reference compounds H Geppert, T Horváth, T Gärtner, S Wrobel, J Bajorath Journal of chemical information and modeling 48 (4), 742-746, 2008	83	2008
Ligand prediction from protein sequence and small molecule information using support vector machines and fingerprint descriptors H Geppert, J Humrich, D Stumpfe, T Gärtner, J Bajorath Journal of Chemical Information and Modeling 49 (4), 767-779, 2009	69	2009
Graph kernels and Gaussian processes for relational reinforcement learning K Driessens, J Ramon, T Gärtner Machine Learning 64, 91-119, 2006	67	2006
Formal concept sampling for counting and threshold-free local pattern mining M Boley, T Gärtner, H Grosskreutz Proceedings of the 2010 SIAM International Conference on Data Mining, 177-188, 2010	57	2010
Linear space direct pattern sampling using coupling from the past M Boley, S Moens, T Gärtner Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	53	2012
Simpler knowledge-based support vector machines QV Le, AJ Smola, T Gärtner Proceedings of the 23rd international conference on machine learning, 521-528, 2006	52	2006

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