 | 2009 |
| 27 |  | Helge Langseth,
Thomas D. Nielsen,
Rafael Rumí,
Antonio Salmerón:
Maximum Likelihood Learning of Conditional MTE Distributions.
ECSQARU 2009: 240-251 |
| 26 |  | Kristian S. Ahlmann-Ohlsen,
Finn Verner Jensen,
Thomas D. Nielsen,
Ole Pedersen,
Marta Vomlelová:
A comparison of two approaches for solving unconstrained influence diagrams.
Int. J. Approx. Reasoning 50(1): 153-173 (2009) |
| 25 |  | Helge Langseth,
Thomas D. Nielsen:
Latent classification models for binary data.
Pattern Recognition 42(11): 2724-2736 (2009) |
| 2008 |
| 24 |  | Søren Holbech Nielsen,
Thomas D. Nielsen:
Adapting Bayes network structures to non-stationary domains.
Int. J. Approx. Reasoning 49(2): 379-397 (2008) |
| 2007 |
| 23 |  | Thomas D. Nielsen,
Finn Verner Jensen:
On-line alert systems for production plants: A conflict based approach.
Int. J. Approx. Reasoning 45(2): 255-270 (2007) |
| 2006 |
| 22 |  | Jens A. Hansen,
Thomas D. Nielsen,
Henrik Schiøler:
A COTS framework for sensor fusion using dynamic bayesian networks in livestock production.
CAINE 2006: 41-47 |
| 21 |  | Jens A. Hansen,
Thomas D. Nielsen,
Henrik Schiøler:
Sensor Fusion Using Dynamic Bayesian Networks in Livestock Production Buildings.
CIMCA/IAWTIC 2006: 215 |
| 20 |  | Søren Holbech Nielsen,
Thomas D. Nielsen:
Adapting Bayes Network Structures to Non-stationary Domains.
Probabilistic Graphical Models 2006: 223-230 |
| 19 |  | Thomas D. Nielsen,
Jean-Yves Jaffray:
Dynamic decision making without expected utility: An operational approach.
European Journal of Operational Research 169(1): 226-246 (2006) |
| 18 |  | Finn Verner Jensen,
Thomas D. Nielsen,
Prakash P. Shenoy:
Sequential influence diagrams: A unified asymmetry framework.
Int. J. Approx. Reasoning 42(1-2): 101-118 (2006) |
| 17 |  | Helge Langseth,
Thomas D. Nielsen:
Classification using Hierarchical Naïve Bayes models.
Machine Learning 63(2): 135-159 (2006) |
| 2005 |
| 16 |  | Thomas D. Nielsen,
Finn Verner Jensen:
Alert Systems for Production Plants: A Methodology Based on Conflict Analysis.
ECSQARU 2005: 76-87 |
| 15 |  | Thomas D. Nielsen,
Nevin Lianwen Zhang:
Special Issue on ECSQARU-2003: The Seventh European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty: Message from the Guest Editors.
Int. J. Approx. Reasoning 38(3): 215-216 (2005) |
| 14 |  | Helge Langseth,
Thomas D. Nielsen:
Latent Classification Models.
Machine Learning 59(3): 237-265 (2005) |
| 2004 |
| 13 |  | Thomas D. Nielsen,
Finn Verner Jensen:
Learning a decision maker's utility function from (possibly) inconsistent behavior.
Artif. Intell. 160(1-2): 53-78 (2004) |
| 12 |  | Nevin Lianwen Zhang,
Thomas D. Nielsen,
Finn Verner Jensen:
Latent variable discovery in classification models.
Artificial Intelligence in Medicine 30(3): 283-299 (2004) |
| 2003 |
| 11 |  | Thomas D. Nielsen,
Nevin Lianwen Zhang:
Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 7th European Conference, ECSQARU 2003, Aalborg, Denmark, July 2-5, 2003. Proceedings
Springer 2003 |
| 10 |  | Thomas D. Nielsen,
Finn Verner Jensen:
Sensitivity analysis in influence diagrams.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 33(2): 223-234 (2003) |
| 9 |  | Thomas D. Nielsen,
Finn Verner Jensen:
Representing and Solving Asymmetric Decision Problems.
International Journal of Information Technology and Decision Making 2(2): 217-263 (2003) |
| 8 |  | Helge Langseth,
Thomas D. Nielsen:
Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains.
Journal of Machine Learning Research 4: 339-368 (2003) |
| 2002 |
| 7 |  | Thomas D. Nielsen:
Decomposition of influence diagrams.
Journal of Applied Non-Classical Logics 12(2): 135-150 (2002) |
| 2001 |
| 6 |  | Thomas D. Nielsen:
Decomposition of Influence Diagrams.
ECSQARU 2001: 144-155 |
| 5 |  | Olav Bangsø,
Helge Langseth,
Thomas D. Nielsen:
Structural Learning in Object Oriented Domains.
FLAIRS Conference 2001: 340-344 |
| 4 |  | Thomas D. Nielsen,
Finn Verner Jensen:
Cutting Influence Diagrams Down to the Core.
SCAI 2001: 159-160 |
| 2000 |
| 3 |  | Thomas D. Nielsen,
Finn Verner Jensen:
Representing and Solving Asymmetric Bayesian Decision Problems.
UAI 2000: 416-425 |
| 2 |  | Thomas D. Nielsen,
Pierre-Henri Wuillemin,
Finn Verner Jensen,
Uffe Kjærulff:
Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example.
UAI 2000: 426-435 |
| 1999 |
| 1 |  | Thomas D. Nielsen,
Finn Verner Jensen:
Welldefined Decision Scenarios.
UAI 1999: 502-511 |