Uffe Kjærulff

26 papers A 7C 3Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2013	J	`jnl`	A computational scheme for Reasoning in Dynamic Probabilistic Networks CoRR Uffe Kjærulff
2013	J	`jnl`	HUGS: Combining Exact Inference and Gibbs Sampling in Junction Trees CoRR Uffe Kjærulff
2013	J	`jnl`	Making Sensitivity Analysis Computationally Efficient CoRR Uffe Kjærulff, Linda C. van der Gaag
2013	J	`jnl`	Nested Junction Trees CoRR Uffe Kjærulff
2013	J	`jnl`	Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (2003) CoRR Christopher Meek, Uffe Kjærulff
2013	J	`jnl`	Reduction of Computational Complexity in Bayesian Networks through Removal of Weak Dependencies CoRR Uffe Kjærulff
2013	J	`jnl`	Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example CoRR Thomas D. Nielsen, Pierre-Henri Wuillemin, Finn Verner Jensen, Uffe Kjærulff
2009	—	`conf`	Problem-Oriented and Project-Based Learning (POPBL) in Software Engineering. SEUH Uffe Kjærulff
2005	J	`jnl`	The Hugin Tool for Probabilistic Graphical Models. Int. J. Artif. Intell. Tools Anders L. Madsen, Frank Jensen, Uffe Kjærulff, Michael Lang
2003	J	`jnl`	Sensitivity analysis in Gaussian Bayesian networks using a symbolic-numerical technique. Reliab. Eng. Syst. Saf. Enrique F. Castillo, Uffe Kjærulff
2003	C	`conf`	The Hugin Tool for Learning Bayesian Networks. ECSQARU Anders L. Madsen, Michael Lang, Uffe Kjærulff, Frank Jensen
2003	A	`ed.`	UAI '03, Proceedings of the 19th Conference in Uncertainty in Artificial Intelligence, Acapulco, Mexico, August 7-10 2003 UAI Christopher Meek, Uffe Kjærulff
2002	—	`conf`	Hugin - The Tool for Bayesian Networks and Influence Diagrams. Probabilistic Graphical Models Frank Jensen, Uffe Kjærulff, Michael Lang, Anders L. Madsen
2001	—	`conf`	The SACSO System for Troubleshooting of Printing Systems. SCAI Finn Verner Jensen, Claus Skaanning, Uffe Kjærulff
2001	J	`jnl`	The SACSO methodology for troubleshooting complex systems. Artif. Intell. Eng. Des. Anal. Manuf. Finn Verner Jensen, Uffe Kjærulff, Brian Kristiansen, Helge Langseth, Claus Skaanning, Jirí Vomlel, Marta Vomlelová
2000	A	`conf`	Making Sensitivity Analysis Computationally Efficient. UAI Uffe Kjærulff, Linda C. van der Gaag
2000	C	`conf`	Printer Troubleshooting Using Bayesian Networks. IEA/AIE Claus Skaanning, Finn Verner Jensen, Uffe Kjærulff
2000	A	`conf`	Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example. UAI Thomas D. Nielsen, Pierre-Henri Wuillemin, Finn Verner Jensen, Uffe Kjærulff
1998	—	`ch.`	Inference in Bayesian Networks Using Nested Junction Trees. Learning in Graphical Models Uffe Kjærulff
1997	A	`conf`	Nested Junction Trees. UAI Uffe Kjærulff
1995	J	`jnl`	Blocking Gibbs sampling in very large probabilistic expert systems. Int. J. Hum. Comput. Stud. Claus S. Jensen, Uffe Kjærulff, Augustine Kong
1995	A	`conf`	HUGS: Combining Exact Inference and Gibbs Sampling in junction Trees. UAI Uffe Kjærulff
1994	C	`conf`	Hybrid Propagation in Junction Trees. IPMU A. Philip Dawid, Uffe Kjærulff, Steffen L. Lauritzen
1994	A	`conf`	Reduction of Computational Complexity in Bayesian Networks Through Removal of Weak Dependences. UAI Uffe Kjærulff
1992	A	`conf`	A Computational Scheme for Reasoning in Dynamic Probabilistic Networks. UAI Uffe Kjærulff
1989	J	`jnl`	A munin network for the median nerve - a case study on loops. Appl. Artif. Intell. Kristian G. Olesen, Uffe Kjærulff, Frank Jensen, Finn Verner Jensen, Björn Falck, Steen Andreassen, Stig K. Andersen