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Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests
We show that the existence of such a quartet allows us to uniquely identify each latent variable and to learn all parameters involving that latent variable.
Unsupervised Learning of Noisy-Or Bayesian Networks
This paper considers the problem of learning the parameters in Bayesian networks of discrete variables with known structure and hidden variables.
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