Uffe Kjærulff

Uffe Kjærulff, Linda C. van der Gaag: Making Sensitivity Analysis Computationally Efficient. CoRR abs/1301.3868 (2013)

Thomas D. Nielsen, Pierre-Henri Wuillemin, Finn Verner Jensen, Uffe Kjærulff: Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example. CoRR abs/1301.3880 (2013)

Christopher Meek, Uffe Kjærulff: Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (2003). CoRR abs/1301.4606 (2013)

Uffe Kjærulff: Nested Junction Trees. CoRR abs/1302.1553 (2013)

Uffe Kjærulff: HUGS: Combining Exact Inference and Gibbs Sampling in Junction Trees. CoRR abs/1302.4968 (2013)

Uffe Kjærulff: Reduction of Computational Complexity in Bayesian Networks through Removal of Weak Dependencies. CoRR abs/1302.6825 (2013)

Uffe Kjærulff: A computational scheme for Reasoning in Dynamic Probabilistic Networks. CoRR abs/1303.5407 (2013)

Anders L. Madsen, Frank Jensen, Uffe Kjærulff, Michael Lang: The Hugin Tool for Probabilistic Graphical Models. International Journal on Artificial Intelligence Tools 14(3): 507-544 (2005)

Anders L. Madsen, Michael Lang, Uffe Kjærulff, Frank Jensen: The Hugin Tool for Learning Bayesian Networks. ECSQARU 2003: 594-605

Christopher Meek, Uffe Kjærulff (Eds.): UAI '03, Proceedings of the 19th Conference in Uncertainty in Artificial Intelligence, Acapulco, Mexico, August 7-10 2003. Morgan Kaufmann 2003, isbn 0-127-05664-5

Frank Jensen, Uffe Kjærulff, Michael Lang, Anders L. Madsen: Hugin - The Tool for Bayesian Networks and Influence Diagrams. Probabilistic Graphical Models 2002

Finn Verner Jensen, Uffe Kjærulff, Brian Kristiansen, Helge Langseth, Claus Skaanning, Jirí Vomlel, Marta Vomlelová: The SACSO methodology for troubleshooting complex systems. AI EDAM 15(4): 321-333 (2001)

Finn Verner Jensen, Claus Skaanning, Uffe Kjærulff: The SACSO System for Troubleshooting of Printing Systems. SCAI 2001: 67-79

Claus Skaanning, Finn Verner Jensen, Uffe Kjærulff: Printer Troubleshooting Using Bayesian Networks. IEA/AIE 2000: 367-379

Uffe Kjærulff, Linda C. van der Gaag: Making Sensitivity Analysis Computationally Efficient. UAI 2000: 317-325

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

Uffe Kjærulff: Nested Junction Trees. UAI 1997: 294-301

Claus S. Jensen, Uffe Kjærulff, Augustine Kong: Blocking Gibbs sampling in very large probabilistic expert systems. Int. J. Hum.-Comput. Stud. 42(6): 647-666 (1995)

Uffe Kjærulff: HUGS: Combining Exact Inference and Gibbs Sampling in junction Trees. UAI 1995: 368-375

A. Philip Dawid, Uffe Kjærulff, Steffen L. Lauritzen: Hybrid Propagation in Junction Trees. IPMU 1994: 87-97

Uffe Kjærulff: Reduction of Computational Complexity in Bayesian Networks Through Removal of Weak Dependences. UAI 1994: 374-382

Uffe Kjærulff: A Computational Scheme for Reasoning in Dynamic Probabilistic Networks. UAI 1992: 121-129

Kristian G. Olesen, Uffe Kjærulff, Frank Jensen, Finn Verner Jensen, Björn Falck, Steen Andreassen, Stig K. Andersen: A munin network for the median nerve - a case study on loops. Applied Artificial Intelligence 3(2-3): 385-403 (1989)