--On Wednesday, March 15, 2000, 7:53 AM -0800 Neal Rothleder and Eric
Bloedorn <bloedorn@mitre.org> wrote:
> We are working on a problem in for which we would like to use Bayes
> rule, but that appears computationally infeasible. Can anyone
> in this list suggest methods for calcuating a large number of
> conditional probabilities required for Bayes without the independence
> assumption?
Bayesian networks do not force you to make any independence assumptions and
the algorithms developed for them are pretty efficient. If you tell me
more details/give an example, I should be able to encode it in GeNIe for
you.
Cheers,
Marek
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Marek J. Druzdzel http://www.pitt.edu/~druzdzel
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