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All publications by Volker Tresp
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Reducing the Rank in Relational Factorization Models by Including Observable Patterns
Maximilian Nickel, Xueyan Jiang and Volker Tresp
Advances in Neural Information Processing Systems 27, 2014


A Three-Way Model for Collective Learning on Multi-Relational Data
Maximilian Nickel, Volker Tresp and Hans-peter Kriegel
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Tutorial summary: Learning with dependencies between several response variables
Volker Tresp and Kai Yu
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Robust multi-task learning with {\it t}-processes
Shipeng Yu, Volker Tresp and Kai Yu
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Collaborative ordinal regression
Shipeng Yu, Kai Yu, Volker Tresp and Hans-peter Kriegel
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Active learning via transductive experimental design
Kai Yu, Jinbo Bi and Volker Tresp
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Stochastic Relational Models for Discriminative Link Prediction
Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp and Zhao Xu
Advances in Neural Information Processing Systems 19, 2006


Learning Gaussian processes from multiple tasks
Kai Yu, Volker Tresp and Anton Schwaighofer
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Dirichlet enhanced relational learning
Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu and Hans-peter Kriegel
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Soft Clustering on Graphs
Kai Yu, Shipeng Yu and Volker Tresp
Advances in Neural Information Processing Systems 18, 2005


Learning Gaussian Process Kernels via Hierarchical Bayes
Anton Schwaighofer, Volker Tresp and Kai Yu
Advances in Neural Information Processing Systems 17, 2004


The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging
Anton Schwaighofer, Volker Tresp, Peter Mayer, Alexander K. Scheel and Gerhard Müller
Advances in Neural Information Processing Systems 15, 2002


Transductive and Inductive Methods for Approximate Gaussian Process Regression
Anton Schwaighofer and Volker Tresp
Advances in Neural Information Processing Systems 15, 2002