Thomas Gärtner

发表

Large Scale Learning with Kreĭn Kernels pdf

Thomas Gärtner, Dino Oglic, T. Gärtner, 2018, ArXiv.

Predictive Graph Mining with Kernel Methods

Thomas Gärtner, 2005 .

Graph kernels and Gaussian processes for relational reinforcement learning

Thomas Gärtner, Kurt Driessens, Jan Ramon, 2006, Machine-mediated learning.

ECML PKDD 2016 Journal Track Special Issue

Céline Robardet, Andrea Passerini, Thomas Gärtner, 2016 .

Model Selection for Ranking SVM Using

Thomas Gärtner, Stéphane Canu, Gilles Gasso, 2009 .

Towards Engaging Games

Thomas Gärtner, Kristian Kersting, Olana Missura, 2008, LWA.

Player Modeling for Intelligent Difficulty Adjustment

Thomas Gärtner, Olana Missura, Olana Missura, 2009, LWA.

Scalable Learning in Reproducing Kernel Krein Spaces

Thomas Gärtner, Dino Oglic, Dino Oglic, 2018, ICML.

Kernels and Distances for Structured Data

Thomas Gärtner, Peter A. Flach, John W. Lloyd, 2004, Machine Learning.

Simpler knowledge-based support vector machines

Thomas Gärtner, Alexander J. Smola, Quoc V. Le, 2006, ICML.

Transductive Gaussian Process Regression with Automatic Model Selection

Thomas Gärtner, Alexander J. Smola, Quoc V. Le, 2006, ECML.

Efficient co-regularised least squares regression

Thomas Gärtner, Ulf Brefeld, Stefan Wrobel, 2006, ICML.

On Graph Kernels: Hardness Results and Efficient Alternatives

Thomas Gärtner, Peter A. Flach, Stefan Wrobel, 2003, COLT.

On the Complexity of Constraint-Based Theory Extraction

Thomas Gärtner, Mario Boley, Mario Boley, 2009, Discovery Science.

Active Search for Computer‐aided Drug Design

Roman Garnett, Thomas Gärtner, Dino Oglic, 2018, Molecular informatics.

Effect of moist bonding on composite/enamel bond strength.

B. Haller, Thomas Gärtner, K. Moll, 2002, American journal of dentistry.

Cyclic pattern kernels for predictive graph mining

Thomas Gärtner, Stefan Wrobel, Tamás Horváth, 2004, KDD.

Effective Parallelisation for Machine Learning

Thomas Gärtner, Michael Kamp, Mario Boley, 2017, NIPS.

A survey of kernels for structured data

Thomas Gärtner, T. Gärtner, Thomas Gärtner, 2003, SKDD.

Direct local pattern sampling by efficient two-step random procedures

Daniel Paurat, Thomas Gärtner, Claudio Lucchese, 2011, KDD.

Linear space direct pattern sampling using coupling from the past

Thomas Gärtner, Mario Boley, Sandy Moens, 2012, KDD.

Kernels for structured data

Thomas Gärtner, Thomas Gärtner, 2008, Series in Machine Perception and Artificial Intelligence.

Multi-Instance Kernels

Thomas Gärtner, Alexander J. Smola, Peter A. Flach, 2002, ICML.

Graph kernels and Gaussian processes for relational reinforcement learning

Thomas Gärtner, Kurt Driessens, Jan Ramon, 2006, Machine Learning.

Kernels for Predictive Graph Mining

Thomas Gärtner, Stefan Wrobel, Tamás Horváth, 2005, GfKl.

A Short Tour of Kernel Methods for Graphs

Thomas Gärtner, Quoc V. Le, Alex J Smola, 2005 .

Direct Pattern Sampling with Respect to Pattern Frequency

Daniel Paurat, Thomas Gärtner, Claudio Lucchese, 2011, LWA.

Support-Vector-Machine-Based Ranking Significantly Improves the Effectiveness of Similarity Searching Using 2D Fingerprints and Multiple Reference Compounds

Thomas Gärtner, Hanna Geppert, Stefan Wrobel, 2008, J. Chem. Inf. Model..

Weisfeiler and Leman Return with Graph Transformations

Maximilian Thiessen, Thomas Gärtner, Fabian Jogl, 2022 .

On structured output training: hard cases and an efficient alternative

Thomas Gärtner, Shankar Vembu, Shankar Vembu, 2009, Machine Learning.

Active Search in Intensionally Specified Structured Spaces

Roman Garnett, Thomas Gärtner, Dino Oglic, 2017, AAAI.

Graph kernels

S. V. N. Vishwanathan, Nicol N. Schraudolph, Karsten M. Borgwardt, 2007 .

Formal Concept Sampling for Counting and Threshold-Free Local Pattern Mining

Thomas Gärtner, Henrik Grosskreutz, Mario Boley, 2010, SDM.

Label Ranking Algorithms: A Survey

Thomas Gärtner, Shankar Vembu, Shankar Vembu, 2010, Preference Learning.

Online Learning of Convex Sets on Graphs

Maximilian Thiessen, Thomas Gärtner, 2022, ECML/PKDD.

Probabilistic Structured Predictors

Thomas Gärtner, Shankar Vembu, Mario Boley, 2009, UAI.

Interactive Knowledge-Based Kernel PCA

Daniel Paurat, Thomas Gärtner, Dino Oglic, 2014, ECML/PKDD.

Learning and Extending Lexical Ontologies by using Machine Learning Methods

Hans Friedrich Witschel, Ioannis P. Klapaftis, Gregor Heinrich, 2005 .

Introducing the ‘active search’ method for iterative virtual screening

Roman Garnett, Thomas Gärtner, Jürgen Bajorath, 2015, Journal of Computer-Aided Molecular Design.

Kernel Methods for Predicting Yields of Chemical Reactions

Alexe L. Haywood, A Haywood, J Redshaw, 2021, J. Chem. Inf. Model..

Learning in Reproducing Kernel Krein Spaces

Thomas Gärtner, Dino Oglic, Dino Oglic, 2018, ICML.

Greedy Feature Construction

Thomas Gärtner, Dino Oglic, Dino Oglic, 2016, NIPS.

Machine Learning and Knowledge Discovery in Databases

Thomas Gärtner, Francesco Bonchi, Neil Hurley, 2018, Lecture Notes in Computer Science.

Context-Based Clustering of Image Search Results

Thomas Gärtner, Stefan Wrobel, Hongqi Wang, 2009, KI.

Large-Scale Multiclass Transduction

Thomas Gärtner, Alexander J. Smola, Quoc V. Le, 2005, NIPS.

Fisher Kernels for Logical Sequences

Thomas Gärtner, Kristian Kersting, K. Kersting, 2004, ECML.

Predicting Dynamic Difficulty

Thomas Gärtner, Olana Missura, Olana Missura, 2011, NIPS.

Ordinal Label Proportions

F. Bonchi, T. Gärtner, N. Hurley, 2018 .

Ligand Prediction from Protein Sequence and Small Molecule Information Using Support Vector Machines and Fingerprint Descriptors

Thomas Gärtner, Hanna Geppert, Jürgen Bajorath, 2009, J. Chem. Inf. Model..

Corresponding Projections for Orphan Screening pdf

Daniel Paurat, Thomas Gärtner, Sven Giesselbach, 2018, ArXiv.

Data Mining on the Sisyphus Dataset: Evaluation and Integration of Results

Peter A. Flach, Wu Shaomin, T Gartner, 2001 .

WBC SVM : Weighted Bayesian Classification based on Support Vector Machines

Peter A. Flach, HOMAS, G ., 2001 .

A Linear Kernel on Strongly Typed Terms

Thomas Gärtner, Peter A. Flach, Thomas Gärtner, 2001 .

On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms

Thomas Gärtner, Stefan Wrobel, Sebastian Bothe, 2010, KI.

Co-Regularised Support Vector Regression

Thomas Gärtner, Stefan Wrobel, Martin Vogt, 2017, ECML/PKDD.

Comparison of Bayesian Networks, G-estimation and linear models to estimate causal treatment effects in aggregated N-of-1 trials with carry-over effects

B. Arnrich, S. Konigorski, J. Schneider, 2022, BMC Medical Research Methodology.

Regularization path for Ranking SVM

Thomas Gärtner, Stéphane Canu, Gilles Gasso, 2008, ESANN.

Graph Kernels

Thomas Gärtner, Stefan Wrobel, Tamás Horváth, 2017, Encyclopedia of Machine Learning and Data Mining.