Abstract
A team of experts assemble a graphical belief network from many small pieces. This paper catalogs the types of knowledge that comprise a graphical belief network and proposes a way in which they can be stored in libraries. This promotes reuse of model components both within the team and between projects.
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Almond, R., Bradshaw, J., Madigan, D. (1994). Reuse and sharing of graphical belief network components. In: Cheeseman, P., Oldford, R.W. (eds) Selecting Models from Data. Lecture Notes in Statistics, vol 89. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2660-4_12
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DOI: https://doi.org/10.1007/978-1-4612-2660-4_12
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