A three-way model for collective learning on multi-relational data M Nickel, V Tresp, HP Kriegel Icml, 2011 | 2781 | 2011 |
A review of relational machine learning for knowledge graphs M Nickel, K Murphy, V Tresp, E Gabrilovich Proceedings of the IEEE 104 (1), 11-33, 2015 | 1910 | 2015 |
Advances in Neural Information Processing Systems 13: Proceedings of the 2000 Conference TK Leen, TG Dietterich, V Tresp MIT Press, 2001 | 585* | 2001 |
A Bayesian committee machine V Tresp Neural computation 12 (11), 2719-2741, 2000 | 560 | 2000 |
Factorizing yago: scalable machine learning for linked data M Nickel, V Tresp, HP Kriegel Proceedings of the 21st international conference on World Wide Web, 271-280, 2012 | 529 | 2012 |
Probabilistic memory-based collaborative filtering K Yu, A Schwaighofer, V Tresp, X Xu, HP Kriegel IEEE Transactions on Knowledge and Data Engineering 16 (1), 56-69, 2004 | 507 | 2004 |
Learning Gaussian processes from multiple tasks K Yu, V Tresp, A Schwaighofer Proceedings of the 22nd international conference on Machine learning, 1012-1019, 2005 | 506 | 2005 |
Active learning via transductive experimental design K Yu, J Bi, V Tresp Proceedings of the 23rd international conference on Machine learning, 1081-1088, 2006 | 429 | 2006 |
Method and arrangement for the neural modelling of a dynamic system with non-linear stochastic behavior V Tresp, T Briegel US Patent 6,272,480, 2001 | 358 | 2001 |
Multi-label informed latent semantic indexing K Yu, S Yu, V Tresp Proceedings of the 28th annual international ACM SIGIR conference on …, 2005 | 328 | 2005 |
Representative sampling for text classification using support vector machines Z Xu, K Yu, V Tresp, X Xu, J Wang Advances in Information Retrieval: 25th European Conference on IR Research …, 2003 | 327 | 2003 |
Mixtures of Gaussian Processes V Tresp Advances in neural information processing systems, 2000 | 318 | 2000 |
Extraction of semantic biomedical relations from text using conditional random fields M Bundschus, M Dejori, M Stetter, V Tresp, HP Kriegel BMC bioinformatics 9, 1-14, 2008 | 298 | 2008 |
Natural language questions for the web of data M Yahya, K Berberich, S Elbassuoni, M Ramanath, V Tresp, G Weikum Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012 | 278 | 2012 |
Learning infinite hidden relational models Z Xu, V Tresp, K Yu, HP Kriegel Uncertainity in Artificial Intelligence (UAI2006) 2, 2006 | 271* | 2006 |
Tensor-train recurrent neural networks for video classification Y Yang, D Krompass, V Tresp International Conference on Machine Learning, 3891-3900, 2017 | 267 | 2017 |
Type-constrained representation learning in knowledge graphs D Krompaß, S Baier, V Tresp The Semantic Web-ISWC 2015: 14th International Semantic Web Conference …, 2015 | 267 | 2015 |
Stochastic relational models for discriminative link prediction K Yu, W Chu, S Yu, V Tresp, Z Xu Advances in neural information processing systems 19, 2006 | 264 | 2006 |
Learning Gaussian process kernels via hierarchical Bayes A Schwaighofer, V Tresp, K Yu Advances in neural information processing systems 17, 2004 | 238 | 2004 |
Predicting clinical events by combining static and dynamic information using recurrent neural networks C Esteban, O Staeck, S Baier, Y Yang, V Tresp 2016 IEEE International Conference on Healthcare Informatics (ICHI), 93-101, 2016 | 192 | 2016 |