Projects per year
Personal profile
Keywords
- Computer Science
- Bayesian networks
- decision graphs
- decision support systems
- data mining
- machine learning
- probabilistic graphical models
Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Bayesian networks
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Engineering & Materials Science
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Conditional Density
Mathematics
Decision problem
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Importance sampling
Engineering & Materials Science
Network
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Projects 1997 2016
Relational and object oriented Bayesian networks
Jaeger, M., Nielsen, T. D. & Bangsø, O.
19/05/2010 → …
Project: Research
Anytime hybrid propagation in Bayesian networks
Kjærulff, U. B., Zeng, Y., Jensen, F. V. & Nielsen, T. D.
19/05/2010 → …
Project: Research
Learning Bayesian Networks
Nielsen, J. D., Nielsen, T. D., Zeng, Y., Jensen, F. V. & Nielsen, S. H.
19/05/2010 → …
Project: Research
Modularization of complex tasks
Olesen, K. G., Bangsø, O., Nielsen, T. D. & Jaeger, M.
19/05/2010 → …
Project: Research
Analysis tools for Bayesian networks and influence diagram
Nielsen, T. D., Olesen, K. G., Bangsø, O., Jensen, F. V., Kjærulff, U. B. & Nielsen, S. H.
19/05/2010 → …
Project: Research
Research Output 1999 2019
AMIDST: A Java toolbox for scalable probabilistic machine learning
Masegosa, A., Martinez, A. M., Ramos-López, D., Cabanas de Paz, R., Salmerón, A., Langseth, H., Nielsen, T. D. & Madsen, A. L., 1 Jan 2019, In : Knowledge-Based Systems. 163, p. 595-597 3 p.Research output: Contribution to journal › Journal article › Research › peer-review
Learning systems
Message passing
Probability distributions
Java
Machine learning
1
Citation
(Scopus)
Adaptive User-Oriented Direct Load-Control of Residential Flexible Devices
Frazzetto, D., Neupane, B., Pedersen, T. B. & Nielsen, T. D., 12 Jun 2018, e-Energy 2018 - Proceedings of the 9th ACM International Conference on Future Energy Systems. Association for Computing Machinery, p. 1-11 11 p.Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Quality of service
Scheduling
Energy utilization
Uncertainty
A Review of Inference Algorithms for Hybrid Bayesian Networks
Salmerón, A., Rumí, R., Langseth, H., Nielsen, T. D. & Madsen, A. L., 1 Aug 2018, In : Journal of Artificial Intelligence Research. 62, p. 799-828 30 p.Research output: Contribution to journal › Review article › Research › peer-review
Open Access
File
Bayesian networks
Costs
On Network Embedding for Machine Learning on Road Networks: A Case Study on the Danish Road Network
Jepsen, T. S., Jensen, C. S., Nielsen, T. D. & Torp, K., 2018, Proceedings of the 2018 IEEE International Conference on Big Data. IEEE, p. 3421-3430 10 p.Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Learning systems
Availability
1
Citation
(Scopus)
Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks
Ramos-López, D., Masegosa, A., Salmerón, A., Rumí, R., Langseth, H., Nielsen, T. D. & Madsen, A. L., 1 Sep 2018, In : International Journal of Approximate Reasoning. 100, p. 115-134 20 p., 100.Research output: Contribution to journal › Journal article › Research › peer-review
Importance sampling
Gaussian Mixture
Importance Sampling
Bayesian networks
Bayesian Networks
Prizes
Best Paper Award
Tobias Skovgaard Jepsen (Recipient), Christian S. Jensen (Recipient), Thomas Dyhre Nielsen (Recipient) & Kristian Torp (Recipient), 13 Dec 2018
Prize: Prizes, scholarships, distinctions
Press / Media
Data i stride strømme advarer i biler, banker og olieboringer
15/04/2014
3 items of media coverage
Press/Media: Press / Media