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Thomas Gärtner
Thomas Gärtner
TU Wien (Technical University of Vienna)
Zweryfikowany adres z tuwien.ac.at - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
13002003
Multi-instance kernels
T Gärtner, PA Flach, A Kowalczyk, AJ Smola
ICML 2 (3), 7, 2002
7332002
A survey of kernels for structured data
T Gärtner
ACM SIGKDD explorations newsletter 5 (1), 49-58, 2003
6412003
Cyclic pattern kernels for predictive graph mining
T Horváth, T Gärtner, S Wrobel
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
4672004
Expressivity versus efficiency of graph kernels
J Ramon, T Gärtner, T Washio, L De Raedt
Proceedings of the first international workshop on mining graphs, trees and …, 2003
3562003
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
2382006
Kernels and distances for structured data
T Gärtner, JW Lloyd, PA Flach
Machine Learning 57, 205-232, 2004
2142004
Label ranking algorithms: A survey
S Vembu, T Gärtner
Preference learning, 45-64, 2010
1912010
Player modeling for intelligent difficulty adjustment
O Missura, T Gärtner
Discovery Science: 12th International Conference, DS 2009, Porto, Portugal …, 2009
1552009
Kernels for structured data
T Gärtner
World Scientific Pub Co Inc, 2009
1442009
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
1232011
Exponential and geometric kernels for graphs
T Gartner
NIPS^* 02 Workshop on Unreal Data: Principles of Modeling Nonvectorial Data, 2002
1022002
Kernels for structured data
T Gärtner, JW Lloyd, PA Flach
Inductive Logic Programming: 12th International Conference, ILP 2002 Sydney …, 2003
972003
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
862008
Graph kernels and gaussian processes for relational reinforcement learning
T Gärtner, K Driessens, J Ramon
International Conference on Inductive Logic Programming, 146-163, 2003
842003
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
732009
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
642012
Graph kernels and Gaussian processes for relational reinforcement learning
K Driessens, J Ramon, T Gärtner
Machine Learning 64, 91-119, 2006
642006
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
622010
Simpler knowledge-based support vector machines
QV Le, AJ Smola, T Gärtner
Proceedings of the 23rd international conference on machine learning, 521-528, 2006
512006
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