Thomas Dyhre Nielsen
Thomas Dyhre Nielsen
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Bayesian networks and decision graphs
TD Nielsen, FV Jensen
Springer Science & Business Media, 2009
63352009
Inference in hybrid Bayesian networks
H Langseth, TD Nielsen, R Rumí, A Salmerón
Reliability Engineering & System Safety 94 (10), 1499-1509, 2009
1032009
Classification using hierarchical naive bayes models
H Langseth, TD Nielsen
Machine learning 63 (2), 135-159, 2006
942006
Welldefined decision scenarios
TD Nielsen, FV Jensen
arXiv preprint arXiv:1301.6729, 2013
842013
Mixtures of truncated basis functions
H Langseth, TD Nielsen, R Rumı, A Salmerón
International Journal of Approximate Reasoning 53 (2), 212-227, 2012
752012
Fusion of domain knowledge with data for structural learning in object oriented domains
H Langseth, TD Nielsen
Journal of Machine Learning Research 4 (Jul), 339-368, 2003
642003
Adapting Bayes network structures to non-stationary domains
SH Nielsen, TD Nielsen
International Journal of Approximate Reasoning 49 (2), 379-397, 2008
542008
Sequential influence diagrams: A unified asymmetry framework
FV Jensen, TD Nielsen, PP Shenoy
International Journal of Approximate Reasoning 42 (1-2), 101-118, 2006
542006
Learning a decision maker's utility function from (possibly) inconsistent behavior
TD Nielsen, FV Jensen
Artificial Intelligence 160 (1-2), 53-78, 2004
532004
Latent variable discovery in classification models
NL Zhang, TD Nielsen, FV Jensen
Artificial Intelligence in Medicine 30 (3), 283-299, 2004
522004
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
492011
A latent model for collaborative filtering
H Langseth, TD Nielsen
International Journal of Approximate Reasoning 53 (4), 447-466, 2012
482012
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
452017
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
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
41*2014
Sensitivity analysis in influence diagrams
TD Nielsen, FV Jensen
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2003
352003
Representing and Solving Asymmetric Bayesian Decision Problems.
TD Nielsen, FV Jensen
UAI, 416-425, 2000
302000
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
272012
Dynamic decision making without expected utility: An operational approach
TD Nielsen, JY Jaffray
European journal of operational research 169 (1), 226-246, 2006
262006
Latent classification models
H Langseth, TD Nielsen
Machine Learning 59 (3), 237-265, 2005
262005
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20