Provable learning of noisy-OR networks
Provable learning of noisy-OR networks
Many machine learning applications use latent variable models to explain structure in data, whereby visible variables (= coordinates of the given datapoint) are explained as a probabilistic function of some hidden variables. Learning the model ---that is, the mapping from hidden variables to visible ones and vice versa---is NP-hard even …