| 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 | 1296 | 2003 |
| Multi-instance kernels T Gärtner, PA Flach, A Kowalczyk, AJ Smola ICML 2 (3), 7, 2002 | 713 | 2002 |
| A survey of kernels for structured data T Gärtner ACM SIGKDD explorations newsletter 5 (1), 49-58, 2003 | 645 | 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 | 458 | 2004 |
| Expressivity versus efficiency of graph kernels J Ramon, T Gärtner First international workshop on mining graphs, trees and sequences, 65-74, 2003 | 352 | 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 | 239 | 2006 |
| Kernels and distances for structured data T Gärtner, JW Lloyd, PA Flach Machine Learning 57, 205-232, 2004 | 215 | 2004 |
| Label ranking algorithms: A survey S Vembu, T Gärtner Preference learning, 45-64, 2010 | 192 | 2010 |
| Player modeling for intelligent difficulty adjustment O Missura, T Gärtner Discovery Science: 12th International Conference, DS 2009, Porto, Portugal …, 2009 | 154 | 2009 |
| Kernels for structured data T Gärtner World Scientific Pub Co Inc, 2009 | 146 | 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 | 123 | 2011 |
| Exponential and geometric kernels for graphs T Gartner NIPS^* 02 Workshop on Unreal Data: Principles of Modeling Nonvectorial Data, 2002 | 100 | 2002 |
| Kernels for structured data T Gärtner, JW Lloyd, PA Flach Inductive Logic Programming: 12th International Conference, ILP 2002 Sydney …, 2003 | 95 | 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 | 88 | 2008 |
| 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 | 83 | 2003 |
| 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 | 71 | 2009 |
| Graph kernels and Gaussian processes for relational reinforcement learning K Driessens, J Ramon, T Gärtner Machine Learning 64, 91-119, 2006 | 63 | 2006 |
| 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 | 62 | 2012 |
| 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 | 61 | 2010 |
| 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 |
Stefan WrobelFraunhofer IAIS and University of Bonniais.fraunhofer.de의 이메일 확인됨