Thomas Gärtner

Laurentiu Ilici, Jiaojian Wang, Olana Missura, Thomas Gärtner: Dynamic difficulty for checkers and Chinese chess. CIG 2012: 55-62

Mario Boley, Sandy Moens, Thomas Gärtner: Linear space direct pattern sampling using coupling from the past. KDD 2012: 69-77

Shankar Vembu, Thomas Gärtner, Mario Boley: Probabilistic Structured Predictors. CoRR abs/1205.2610 (2012)

Jens Humrich, Thomas Gärtner, Gemma C. Garriga: A Fixed Parameter Tractable Integer Program for Finding the Maximum Order Preserving Submatrix. ICDM 2011: 1098-1103

Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner: Direct local pattern sampling by efficient two-step random procedures. KDD 2011: 582-590

Olana Missura, Thomas Gärtner: Predicting Dynamic Difficulty. NIPS 2011: 2007-2015

Sven Tackenberg, Thomas Gärtner, Sönke Duckwitz, Christopher M. Schlick: Simulation Based Evaluation of Service Science Productivity for Solution Providers. IJSSMET 1(4): 35-52 (2010)

Sebastian Bothe, Thomas Gärtner, Stefan Wrobel: On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms. KI 2010: 82-90

Mario Boley, Thomas Gärtner, Henrik Grosskreutz: Formal Concept Sampling for Counting and Threshold-Free Local Pattern Mining. SDM 2010: 177-188

Thomas Gärtner, Tamás Horváth, Stefan Wrobel: Graph Kernels. Encyclopedia of Machine Learning 2010: 467-469

Thomas Gärtner, Gemma C. Garriga: Guest editors' introduction: special issue on mining and learning with graphs. Machine Learning 75(1): 1-2 (2009)

Thomas Gärtner, Shankar Vembu: On structured output training: hard cases and an efficient alternative. Machine Learning 76(2-3): 227-242 (2009)

Mario Boley, Thomas Gärtner: On the Complexity of Constraint-Based Theory Extraction. Discovery Science 2009: 92-106

Olana Missura, Thomas Gärtner: Player Modeling for Intelligent Difficulty Adjustment. Discovery Science 2009: 197-211

Hongqi Wang, Olana Missura, Thomas Gärtner, Stefan Wrobel: Context-Based Clustering of Image Search Results. KI 2009: 153-160

Thomas Gärtner, Shankar Vembu: On Structured Output Training: Hard Cases and an Efficient Alternative. ECML/PKDD (1) 2009: 7

Shankar Vembu, Thomas Gärtner, Mario Boley: Probabilistic Structured Predictors. UAI 2009: 557-564

Karina Zapien Arreola, Thomas Gärtner, Gilles Gasso, Stéphane Canu: Regularization path for Ranking SVM. ESANN 2008: 415-420

Olana Missura, Kristian Kersting, Thomas Gärtner: Towards Engaging Games. LWA 2008: 77-83

Thomas Gärtner, Gemma C. Garriga: The Cost of Learning Directed Cuts. ECML 2007: 152-163

Thomas Gärtner: Efficient Kernel Methods for Graphs. MLG 2007

Thomas Gärtner, Gemma C. Garriga: The Cost of Learning Directed Cuts. MLG 2007

Shankar Vembu, Thomas Gärtner, Stefan Wrobel: Semidefinite Ranking on Graphs. MLG 2007

Kurt Driessens, Jan Ramon, Thomas Gärtner: Graph kernels and Gaussian processes for relational reinforcement learning. Machine Learning 64(1-3): 91-119 (2006)

Quoc V. Le, Alexander J. Smola, Thomas Gärtner, Yasemin Altun: Transductive Gaussian Process Regression with Automatic Model Selection. ECML 2006: 306-317

Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel: Efficient co-regularised least squares regression. ICML 2006: 137-144

Quoc V. Le, Alex J. Smola, Thomas Gärtner: Simpler knowledge-based support vector machines. ICML 2006: 521-528

Thomas Gärtner: Kernels for structured data. Universität Bonn 2005, pp. I-XII, 1-160

Stefan Wrobel, Thomas Gärtner, Tamás Horváth: Kernels for Predictive Graph Mining. GfKl 2005: 75-86

Thomas Gärtner, Quoc V. Le, Simon Burton, Alex J. Smola, S. V. N. Vishwanathan: Large-Scale Multiclass Transduction. NIPS 2005

Thomas Gärtner, John W. Lloyd, Peter A. Flach: Kernels and Distances for Structured Data. Machine Learning 57(3): 205-232 (2004)

Kristian Kersting, Thomas Gärtner: Fisher Kernels for Logical Sequences. ECML 2004: 205-216

Tamás Horváth, Thomas Gärtner, Stefan Wrobel: Cyclic pattern kernels for predictive graph mining. KDD 2004: 158-167

Thomas Gärtner: A survey of kernels for structured data. SIGKDD Explorations 5(1): 49-58 (2003)

Thomas Gärtner, Peter A. Flach, Stefan Wrobel: On Graph Kernels: Hardness Results and Efficient Alternatives. COLT 2003: 129-143

Thomas Gärtner, Kurt Driessens, Jan Ramon: Graph Kernels and Gaussian Processes for Relational Reinforcement Learning. ILP 2003: 146-163

Thomas Gärtner, Peter A. Flach, Adam Kowalczyk, Alex J. Smola: Multi-Instance Kernels. ICML 2002: 179-186

Thomas Gärtner, John W. Lloyd, Peter A. Flach: Kernels for Structured Data. ILP 2002: 66-83

Thomas Gärtner, Peter A. Flach: WBCsvm: Weighted Bayesian Classification based on Support Vector Machines. ICML 2001: 154-161