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
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
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
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
Multi-label informed latent semantic indexing
K Yu, S Yu, V Tresp
Proceedings of the 28th annual international ACM SIGIR conference on …, 2005
Learning infinite hidden relational models
Z Xu, V Tresp, K Yu, HP Kriegel
Uncertainity in Artificial Intelligence (UAI2006), 2, 2006
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), 1-14, 2008
Representative sampling for text classification using support vector machines
Z Xu, K Yu, V Tresp, X Xu, J Wang
European conference on information retrieval, 393-407, 2003
Stochastic relational models for discriminative link prediction
K Yu, W Chu, S Yu, V Tresp, Z Xu
NIPS 6, 1553-1560, 2006
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
Mixtures of Gaussian Processes
V Tresp
Advances in neural information processing systems, 2000
Learning Gaussian process kernels via hierarchical Bayes
A Schwaighofer, V Tresp, K Yu
Advances in neural information processing systems, 1209-1216, 2005
Combining estimators using non-constant weighting functions
V Tresp, M Taniguchi
Advances in neural information processing systems, 1995
Towards LarKC: a platform for web-scale reasoning
D Fensel, F Van Harmelen, B Andersson, P Brennan, H Cunningham, ...
2008 IEEE International Conference on Semantic Computing, 524-529, 2008
Type-constrained representation learning in knowledge graphs
D Krompaß, S Baier, V Tresp
International semantic web conference, 640-655, 2015
Training Neural Networks with Deficient Data
V Tresp, S Ahmad, R Neuneier
Advances in neural information processing systems, 1994
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