| 2007 |
|---|
| 11 | EE | Anton Schwaighofer,
Mathäus Dejori,
Volker Tresp,
Martin Stetter:
Structure Learning with Nonparametric Decomposable Models.
ICANN (1) 2007: 119-128 |
| 2005 |
|---|
| 10 | EE | Kai Yu,
Volker Tresp,
Anton Schwaighofer:
Learning Gaussian processes from multiple tasks.
ICML 2005: 1012-1019 |
| 2004 |
|---|
| 9 | EE | Anton Schwaighofer,
Volker Tresp,
Kai Yu:
Learning Gaussian Process Kernels via Hierarchical Bayes.
NIPS 2004 |
| 8 | EE | Kai Yu,
Anton Schwaighofer,
Volker Tresp,
Xiaowei Xu,
Hans-Peter Kriegel:
Probabilistic Memory-Based Collaborative Filtering.
IEEE Trans. Knowl. Data Eng. 16(1): 56-69 (2004) |
| 2003 |
|---|
| 7 | EE | Anton Schwaighofer,
Marian Grigoras,
Volker Tresp,
Clemens Hoffmann:
GPPS: A Gaussian Process Positioning System for Cellular Networks.
NIPS 2003 |
| 6 | | Kai Yu,
Anton Schwaighofer,
Volker Tresp,
Wei-Ying Ma,
HongJiang Zhang:
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes.
UAI 2003: 616-623 |
| 2002 |
|---|
| 5 | EE | Kai Yu,
Xiaowei Xu,
Anton Schwaighofer,
Volker Tresp,
Hans-Peter Kriegel:
Removing redundancy and inconsistency in memory-based collaborative filtering.
CIKM 2002: 52-59 |
| 4 | EE | Anton Schwaighofer,
Volker Tresp,
Peter Mayer,
Alexander K. Scheel,
Gerhard Müller:
The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging.
NIPS 2002: 1409-1416 |
| 3 | EE | Anton Schwaighofer,
Volker Tresp:
Transductive and Inductive Methods for Approximate Gaussian Process Regression.
NIPS 2002: 953-960 |
| 2001 |
|---|
| 2 | EE | Volker Tresp,
Anton Schwaighofer:
Scalable Kernel Systems.
ICANN 2001: 285-291 |
| 1 | EE | Anton Schwaighofer,
Volker Tresp:
The Bayesian Committee Support Vector Machine.
ICANN 2001: 411-420 |
