 | 2009 |
| 27 |  | Olana Missura,
Thomas Gärtner:
Player Modeling for Intelligent Difficulty Adjustment.
Discovery Science 2009: 197-211 |
| 26 |  | Mario Boley,
Thomas Gärtner:
On the Complexity of Constraint-Based Theory Extraction.
Discovery Science 2009: 92-106 |
| 25 |  | Thomas Gärtner,
Shankar Vembu:
On Structured Output Training: Hard Cases and an Efficient Alternative.
ECML/PKDD (1) 2009: 7 |
| 24 |  | Hongqi Wang,
Olana Missura,
Thomas Gärtner,
Stefan Wrobel:
Context-Based Clustering of Image Search Results.
KI 2009: 153-160 |
| 23 |  | Thomas Gärtner,
Gemma C. Garriga:
Guest editors' introduction: special issue on mining and learning with graphs.
Machine Learning 75(1): 1-2 (2009) |
| 22 |  | Thomas Gärtner,
Shankar Vembu:
On structured output training: hard cases and an efficient alternative.
Machine Learning 76(2-3): 227-242 (2009) |
| 2008 |
| 21 |  | Karina Zapien Arreola,
Thomas Gärtner,
Gilles Gasso,
Stéphane Canu:
Regularization path for Ranking SVM.
ESANN 2008: 415-420 |
| 20 |  | Olana Missura,
Kristian Kersting,
Thomas Gärtner:
Towards Engaging Games.
LWA 2008: 77-83 |
| 2007 |
| 19 |  | Thomas Gärtner,
Gemma C. Garriga:
The Cost of Learning Directed Cuts.
ECML 2007: 152-163 |
| 18 |  | Thomas Gärtner:
Efficient Kernel Methods for Graphs.
MLG 2007 |
| 17 |  | Shankar Vembu,
Thomas Gärtner,
Stefan Wrobel:
Semidefinite Ranking on Graphs.
MLG 2007 |
| 16 |  | Thomas Gärtner,
Gemma C. Garriga:
The Cost of Learning Directed Cuts.
MLG 2007 |
| 2006 |
| 15 |  | Quoc V. Le,
Alexander J. Smola,
Thomas Gärtner,
Yasemin Altun:
Transductive Gaussian Process Regression with Automatic Model Selection.
ECML 2006: 306-317 |
| 14 |  | Ulf Brefeld,
Thomas Gärtner,
Tobias Scheffer,
Stefan Wrobel:
Efficient co-regularised least squares regression.
ICML 2006: 137-144 |
| 13 |  | Quoc V. Le,
Alex J. Smola,
Thomas Gärtner:
Simpler knowledge-based support vector machines.
ICML 2006: 521-528 |
| 12 |  | Kurt Driessens,
Jan Ramon,
Thomas Gärtner:
Graph kernels and Gaussian processes for relational reinforcement learning.
Machine Learning 64(1-3): 91-119 (2006) |
| 2005 |
| 11 |  | Stefan Wrobel,
Thomas Gärtner,
Tamás Horváth:
Kernels for Predictive Graph Mining.
GfKl 2005: 75-86 |
| 10 |  | Thomas Gärtner,
Quoc V. Le,
Simon Burton,
Alex J. Smola,
S. V. N. Vishwanathan:
Large-Scale Multiclass Transduction.
NIPS 2005 |
| 2004 |
| 9 |  | Kristian Kersting,
Thomas Gärtner:
Fisher Kernels for Logical Sequences.
ECML 2004: 205-216 |
| 8 |  | Tamás Horváth,
Thomas Gärtner,
Stefan Wrobel:
Cyclic pattern kernels for predictive graph mining.
KDD 2004: 158-167 |
| 7 |  | Thomas Gärtner,
John W. Lloyd,
Peter A. Flach:
Kernels and Distances for Structured Data.
Machine Learning 57(3): 205-232 (2004) |
| 2003 |
| 6 |  | Thomas Gärtner,
Peter A. Flach,
Stefan Wrobel:
On Graph Kernels: Hardness Results and Efficient Alternatives.
COLT 2003: 129-143 |
| 5 |  | Thomas Gärtner,
Kurt Driessens,
Jan Ramon:
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning.
ILP 2003: 146-163 |
| 4 |  | Thomas Gärtner:
A survey of kernels for structured data.
SIGKDD Explorations 5(1): 49-58 (2003) |
| 2002 |
| 3 |  | Thomas Gärtner,
Peter A. Flach,
Adam Kowalczyk,
Alex J. Smola:
Multi-Instance Kernels.
ICML 2002: 179-186 |
| 2 |  | Thomas Gärtner,
John W. Lloyd,
Peter A. Flach:
Kernels for Structured Data.
ILP 2002: 66-83 |
| 2001 |
| 1 |  | Thomas Gärtner,
Peter A. Flach:
WBCsvm: Weighted Bayesian Classification based on Support Vector Machines.
ICML 2001: 154-161 |