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Note: Links lead to the DBLP on the Web. Volker Tresp 24 Zhao Xu , Xiaowei Xu , Kai Yu , Volker Tresp: A Hybrid Relevance-Feedback Approach to Text Retrieval. ECIR 2003 : 281-293 23 Zhao Xu , Kai Yu , Volker Tresp, Xiaowei Xu , Jizhi Wang : Representative Sampling for Text Classification Using Support Vector Machines. ECIR 2003 : 393-407 22 Kai Yu , Xiaowei Xu , Anton Schwaighofer , Volker Tresp, Hans-Peter Kriegel : Removing redundancy and inconsistency in memory-based collaborative filtering. CIKM 2002 : 52-59 21 Todd K. Leen , Thomas G. Dietterich , Volker Tresp: Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver, CO, USA. MIT Press 2001 20 Joachim Horn , Thomas Birkhölzer , Oliver Hogl , Marco Pellegrino , Ruxandra Scheiterer , Kai-Uwe Schmidt , Volker Tresp: Knowledge Acquisition and Automated Generation of Bayesian Networks for a Medical Dialogue and Advisory System. AIME 2001 : 199-202 19 Volker Tresp, Anton Schwaighofer : Scalable Kernel Systems. ICANN 2001 : 285-291 18 Anton Schwaighofer , Volker Tresp: The Bayesian Committee Support Vector Machine. ICANN 2001 : 411-420 17 Volker Tresp: Scaling Kernel-Based Systems to Large Data Sets. Data Mining and Knowledge Discovery 5 (3): 197-211 (2001) 16 Volker Tresp: The generalized Bayesian committee machine. KDD 2000 : 130-139 15 Volker Tresp: Mixtures of Gaussian Processes. NIPS 2000 : 654-660 14 Volker Tresp: A Bayesian Committee Machine. Neural Computation 12 (11): 2719-2741 (2000) 13 Volker Tresp, Michael Haft , Reimar Hofmann : Mixture Approximations to Bayesian Networks. UAI 1999 : 639-646 12 Volker Tresp, Reimar Hofmann : Nonlinear Time-Series Prediction with Missing and Noisy Data. Neural Computation 10 (3): 731-747 (1998) 11 Michiaki Taniguchi , Volker Tresp: Combining Regularized Neural Networks. ICANN 1997 : 349-354 10 Volker Tresp, Jürgen Hollatz , Subutai Ahmad : Representing Probabilistic Rules with Networks of Gaussian Basis Functions. Machine Learning 27 (2): 173-200 (1997) 9 Michiaki Taniguchi , Volker Tresp: Averaging Regularized Estimators. Neural Computation 9 (5): 1163-1178 (1997) 8 Volker Tresp: Die besonderen Eigenschaften Neuronaler Netze bei der Approximation von Funktionen. KI 9 (5): 12-17 (1995) 7 Volker Tresp, Subutai Ahmad , Ralph Neuneier : Training Neural Networks with Deficient Data. NIPS 1993 : 128-135 6 Martin F. Schlang , Volker Tresp, Klaus Abraham-Fuchs , Wolfgang Härer , P. Weismüller : Neuronale Netze zur Segmentierung und Clusterung von biomagnetischen Signalen. DAGM-Symposium 1992 : 180-185 5 Jürgen Hollatz , Volker Tresp: Integrating Rule-Based Knowledge into Neural Computing. DAGM-Symposium 1992 : 88-95 4 Subutai Ahmad , Volker Tresp: Some Solutions to the Missing Feature Problem in Vision. NIPS 1992 : 393-400 3 Volker Tresp, Jürgen Hollatz , Subutai Ahmad : Network Structuring and Training Using Rule-Based Knowledge. NIPS 1992 : 871-878 2 Volker Tresp: A Neural Architecture for 2D and 3D Vision. DAGM-Symposium 1991 : 437-445 1 Volker Tresp: A Neural Network Approach for Three-Dimensional Object Recognition. NIPS 1990 : 306-312  DiSC'03 © 2003 Association for Computing Machinery |
