@InProceedings{dittmer97a,
  author =	 {S{\o}ren L. Dittmer and Finn V. Jensen},
  title =	 {Myopic value of information for influence diagrams},
  booktitle =	 {Proceedings of the 13th Conference on Uncertainty in
                  Artificial Intelligence},
  pages =	 {142--149},
  year =	 1997,
  editor = 	 {D. Geiger and P. Shenoy},
  address = 	 {Providence, Rode Island},
  abstract =	 {We present a method for calculation of myopic value
                  of information in influence diagrams (Howard &
                  Matheson, 1981) based on the strong junction tree
                  framework (Jensen et al., 1994) . An influence
                  diagram specifies a certain order of observations
                  and decisions through its structure. This order is
                  reflected in the corresponding junction trees by the
                  order in which the nodes are marginalized. This
                  order of marginalization can be changed by table
                  expansion and use of control structures, and this},
  url = 	 {http://jmvidal.cse.sc.edu/library/dittmer97a.pdf},
  cluster = 	 {17117710907714034403},
  keywords = 	 {networks}
}