Volker Tresp
Cited by
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A three-way model for collective learning on multi-relational data
M Nickel, V Tresp, HP Kriegel
Icml, 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
A Bayesian committee machine
V Tresp
Neural computation 12 (11), 2719-2741, 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
Learning Gaussian processes from multiple tasks
K Yu, V Tresp, A Schwaighofer
Proceedings of the 22nd international conference on Machine learning, 1012-1019, 2005
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
Active learning via transductive experimental design
K Yu, J Bi, V Tresp
Proceedings of the 23rd international conference on Machine learning, 1081-1088, 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
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
Multi-label informed latent semantic indexing
K Yu, S Yu, V Tresp
Proceedings of the 28th annual international ACM SIGIR conference on …, 2005
Mixtures of Gaussian Processes
V Tresp
Advances in neural information processing systems, 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
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
Learning infinite hidden relational models
Z Xu, V Tresp, K Yu, HP Kriegel
Uncertainity in Artificial Intelligence (UAI2006) 2, 2006
Tensor-train recurrent neural networks for video classification
Y Yang, D Krompass, V Tresp
International Conference on Machine Learning, 3891-3900, 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
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
Advances in Neural Information Processing Systems 13: Proceedings of the 2000 Conference
TK Leen, TG Dietterich, V Tresp
MIT Press, 2001
Learning Gaussian process kernels via hierarchical Bayes
A Schwaighofer, V Tresp, K Yu
Advances in neural information processing systems 17, 2004
Supervised probabilistic principal component analysis
S Yu, K Yu, V Tresp, HP Kriegel, M Wu
Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006
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