Deterministic Inference of Topic Models via Maximal Latent State Replication
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DOI: 10.1109/tkde.2020.3000559
Abstract: Probabilistic topic models, such as latent dirichlet allocation (LDA), are often used to discover hidden semantic structure of a collection of documents. In recent years, various inference algorithms have been developed to cope with learning… read more here.
Keywords: deterministic inference; state; inference topic; topic models ... See more keywords