@Article{tomaso08a,
  author =	 {E. Di Tomaso and J. F. Baldwin},
  title =	 {An approach to hybrid probabilistic models},
  journal =	 {International Journal of Approximate Reasoning},
  year =	 2008,
  volume =	 47,
  pages =	 {202--218},
  abstract =	 { This paper is concerned with a development of a
                  theory on probabilistic models, and in particular
                  Bayesian networks, when handling continuous
                  variables. While it is possible to deal with
                  continuous variables without discretisation, the
                  simplest approach is to discretise them. A fuzzy
                  partition of continuous domains will be used, which
                  requires an inference procedure able to deal with
                  soft evidence. Soft evidence is a type of uncertain
                  evidence, and it is also a result of the type of
                  discretisation used. An algorithm for inference in
                  multiply connected networks will be proposed and
                  exploited for filtering and abduction in dynamic,
                  time-invariant models, when continuous variables are
                  present.},
  url = 	 {http://jmvidal.cse.sc.edu/library/tomaso08a.pdf},
  doi = 	 {10.1016/j.ijar.2007.04.004}
}