Thomas Dyhre Nielsen
Thomas Dyhre Nielsen
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TítuloCitado porAño
Bayesian networks and decision graphs
TD Nielsen, FV Jensen
Springer Science & Business Media, 2009
58472009
Inference in hybrid Bayesian networks
H Langseth, TD Nielsen, R Rumí, A Salmerón
Reliability Engineering & System Safety 94 (10), 1499-1509, 2009
952009
Welldefined decision scenarios
TD Nielsen, FV Jensen
Proceedings of the Fifteenth conference on Uncertainty in artificial …, 1999
821999
Classification using hierarchical naive bayes models
H Langseth, TD Nielsen
Machine learning 63 (2), 135-159, 2006
812006
Mixtures of truncated basis functions
H Langseth, TD Nielsen, R Rumı, A Salmerón
International Journal of Approximate Reasoning 53 (2), 212-227, 2012
632012
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
632003
Sequential influence diagrams: A unified asymmetry framework
FV Jensen, TD Nielsen, PP Shenoy
International Journal of Approximate Reasoning 42 (1-2), 101-118, 2006
502006
Latent variable discovery in classification models
NL Zhang, TD Nielsen, FV Jensen
Artificial Intelligence in Medicine 30 (3), 283-299, 2004
482004
Learning a decision maker's utility function from (possibly) inconsistent behavior
TD Nielsen, FV Jensen
Artificial Intelligence 160 (1-2), 53-78, 2004
462004
Adapting Bayes network structures to non-stationary domains
SH Nielsen, TD Nielsen
International Journal of Approximate Reasoning 49 (2), 379-397, 2008
452008
A latent model for collaborative filtering
H Langseth, TD Nielsen
International Journal of Approximate Reasoning 53 (4), 447-466, 2012
412012
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
402011
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
382010
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
35*2014
Sensitivity analysis in influence diagrams
TD Nielsen, FV Jensen
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2003
342003
Representing and solving asymmetric Bayesian decision problems
TD Nielsen, FV Jensen
arXiv preprint arXiv:1301.3879, 2013
312013
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
282017
Dynamic decision making without expected utility: An operational approach
TD Nielsen, JY Jaffray
European Journal of Operational Research 169 (1), 226-246, 2006
252006
Latent classification models
H Langseth, TD Nielsen
Machine Learning 59 (3), 237-265, 2005
252005
An anytime algorithm for evaluating unconstrained influence diagrams
M Luque, TD Nielsen, FV Jensen
Proc. 4th European Workshop on Probabilistic Graphical Models, 177-184, 2008
222008
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