I am looking for solutions similar to leaky Noisy-OR gates in Bayesian networks, that allow for handling uncertainty caused by small amount of training data (see attached publication).

The solution I am looking for does not have to refer to Bayesian networks.

I would appreciate some literature references, or just a key-words so I know what to search for.

Article Learning Bayesian Network Parameters from Small Data Sets: A...

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