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Generative Non-Markov Models for Information Extraction
(Johns Hopkins University, 2016-02-22)
Learning from unlabeled data is a long-standing challenge in machine learning. A principled solution involves modeling the full joint distribution over inputs and the latent structure of interest, and imputing the missing ...