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A Left-To-Right Algorithm For Likelihood Estimation In Gamma-Poisson Factor Analysis
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2018, PT II, (2019): 638-654
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Abstract
Computing the probability of unseen documents is a natural evaluation task in topic modeling. Previous work has addressed this problem for the well-known Latent Dirichlet Allocation (LDA) model. However, the same problem for a more general class of topic models, referred here to as Gamma-Poisson Factor Analysis (GaP-FA), remains unexplore...More
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