Thomas Dyhre Nielsen
Title
Cited by
Cited by
Year
Bayesian networks and decision graphs
FV Jensen, TD Nielsen
Springer, 2007
67522007
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
1042006
Welldefined decision scenarios
TD Nielsen, FV Jensen
arXiv preprint arXiv:1301.6729, 2013
882013
Mixtures of truncated basis functions
H Langseth, TD Nielsen, R Rumı, A Salmerón
International Journal of Approximate Reasoning 53 (2), 212-227, 2012
802012
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
692017
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
652003
Learning a decision maker's utility function from (possibly) inconsistent behavior
TD Nielsen, FV Jensen
Artificial Intelligence 160 (1-2), 53-78, 2004
592004
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
582011
Sequential influence diagrams: A unified asymmetry framework
FV Jensen, TD Nielsen, PP Shenoy
International Journal of Approximate Reasoning 42 (1-2), 101-118, 2006
562006
Adapting Bayes network structures to non-stationary domains
SH Nielsen, TD Nielsen
International Journal of Approximate Reasoning 49 (2), 379-397, 2008
542008
Latent variable discovery in classification models
NL Zhang, TD Nielsen, FV Jensen
Artificial Intelligence in Medicine 30 (3), 283-299, 2004
542004
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
472003
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
352016
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
The system can't perform the operation now. Try again later.
Articles 1–20