Seuraa
Thomas Dyhre Nielsen
Thomas Dyhre Nielsen
Aalborg University
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.aau.dk - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Bayesian networks and decision graphs
FV Jensen, TD Nielsen
Springer, 2007
77542007
Inference in hybrid Bayesian networks
H Langseth, TD Nielsen, R Rumí, A Salmerón
Reliability Engineering & System Safety 94 (10), 1499-1509, 2009
1372009
Classification using hierarchical naive Bayes models
H Langseth, TD Nielsen
Machine learning 63, 135-159, 2006
1222006
Mixtures of truncated basis functions
H Langseth, TD Nielsen, R Rumı, A Salmerón
International Journal of Approximate Reasoning 53 (2), 212-227, 2012
1062012
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
1042017
Prescriptive analytics: a survey of emerging trends and technologies
D Frazzetto, TD Nielsen, TB Pedersen, L Šikšnys
The VLDB Journal 28, 575-595, 2019
952019
Welldefined decision scenarios
TD Nielsen, FV Jensen
arXiv preprint arXiv:1301.6729, 2013
952013
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
762003
Learning deterministic probabilistic automata from a model checking perspective
H Mao, Y Chen, M Jaeger, TD Nielsen, KG Larsen, B Nielsen
Machine Learning 105, 255-299, 2016
752016
A review of inference algorithms for hybrid Bayesian networks
A Salmerón, R Rumí, H Langseth, TD Nielsen, AL Madsen
Journal of Artificial Intelligence Research 62, 799-828, 2018
692018
Graph convolutional networks for road networks
TS Jepsen, CS Jensen, TD Nielsen
Proceedings of the 27th ACM SIGSPATIAL international conference on advances …, 2019
662019
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
662011
Learning a decision maker's utility function from (possibly) inconsistent behavior
TD Nielsen, FV Jensen
Artificial Intelligence 160 (1-2), 53-78, 2004
662004
Latent variable discovery in classification models
NL Zhang, TD Nielsen, FV Jensen
Artificial intelligence in medicine 30 (3), 283-299, 2004
602004
Adapting Bayes network structures to non-stationary domains
SH Nielsen, TD Nielsen
International Journal of Approximate Reasoning 49 (2), 379-397, 2008
592008
Sequential influence diagrams: A unified asymmetry framework
FV Jensen, TD Nielsen, PP Shenoy
International Journal of Approximate Reasoning 42 (1-2), 101-118, 2006
592006
Relational fusion networks: Graph convolutional networks for road networks
TS Jepsen, CS Jensen, TD Nielsen
IEEE Transactions on Intelligent Transportation Systems 23 (1), 418-429, 2020
582020
A latent model for collaborative filtering
H Langseth, TD Nielsen
International Journal of Approximate Reasoning 53 (4), 447-466, 2012
552012
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
51*2014
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
512012
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Artikkelit 1–20