Thomas Dyhre Nielsen
Title
Cited by
Cited by
Year
Bayesian networks and decision graphs
FV Jensen, TD Nielsen
Springer, 2007
66842007
Inference in hybrid Bayesian networks
H Langseth, TD Nielsen, R Rumí, A Salmerón
Reliability Engineering & System Safety 94 (10), 1499-1509, 2009
1142009
Classification using hierarchical naive bayes models
H Langseth, TD Nielsen
Machine learning 63 (2), 135-159, 2006
1022006
Welldefined decision scenarios
TD Nielsen, FV Jensen
arXiv preprint arXiv:1301.6729, 2013
872013
Mixtures of truncated basis functions
H Langseth, TD Nielsen, R Rumı, A Salmerón
International Journal of Approximate Reasoning 53 (2), 212-227, 2012
792012
Fusion of domain knowledge with data for structural learning in object oriented domains
H Langseth, TD Nielsen
The Journal of Machine Learning Research 4, 339-368, 2003
642003
A parallel algorithm for Bayesian network structure learning from large data sets
AL Madsen, F Jensen, A Salmerón, H Langseth, TD Nielsen
Knowledge-Based Systems 117, 46-55, 2017
612017
Learning a decision maker's utility function from (possibly) inconsistent behavior
TD Nielsen, FV Jensen
Artificial Intelligence 160 (1-2), 53-78, 2004
582004
Sequential influence diagrams: A unified asymmetry framework
FV Jensen, TD Nielsen, PP Shenoy
International Journal of Approximate Reasoning 42 (1-2), 101-118, 2006
552006
Learning probabilistic automata for model checking
H Mao, Y Chen, M Jaeger, TD Nielsen, KG Larsen, B Nielsen
2011 Eighth International Conference on Quantitative Evaluation of Systems …, 2011
542011
Latent variable discovery in classification models
NL Zhang, TD Nielsen, FV Jensen
Artificial Intelligence in Medicine 30 (3), 283-299, 2004
542004
Adapting Bayes network structures to non-stationary domains
SH Nielsen, TD Nielsen
International Journal of Approximate Reasoning 49 (2), 379-397, 2008
532008
A latent model for collaborative filtering
H Langseth, TD Nielsen
International Journal of Approximate Reasoning 53 (4), 447-466, 2012
492012
Representing and solving asymmetric decision problems
TD Nielsen, FV Jensen
International Journal of Information Technology & Decision Making 2 (02 …, 2003
462003
Learning mixtures of truncated basis functions from data
H Langseth, TD Nielsen, I Pérez-Bernabé, A Salmerón
International Journal of Approximate Reasoning 55 (4), 940-956, 2014
42*2014
Parameter estimation and model selection for mixtures of truncated exponentials
H Langseth, TD Nielsen, R Rumı, A Salmerón
International Journal of Approximate Reasoning 51 (5), 485-498, 2010
422010
Sensitivity analysis in influence diagrams
TD Nielsen, FV Jensen
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2003
372003
Learning deterministic probabilistic automata from a model checking perspective
H Mao, Y Chen, M Jaeger, TD Nielsen, KG Larsen, B Nielsen
Machine Learning 105 (2), 255-299, 2016
332016
Learning Markov decision processes for model checking
H Mao, Y Chen, M Jaeger, TD Nielsen, KG Larsen, B Nielsen
arXiv preprint arXiv:1212.3873, 2012
302012
Probabilistic decision graphs for optimization under uncertainty
FV Jensen, TD Nielsen
4OR 9 (1), 1-28, 2011
292011
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