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Found 2 papers, 1 papers with code
Improving the Inference of Topic Models via Infinite Latent State Replications
In text mining, topic models are a type of probabilistic generative models for inferring latent semantic topics from text corpus.
Heron Inference for Bayesian Graphical Models
Bayesian graphical models have been shown to be a powerful tool for discovering uncertainty and causal structure from real-world data in many application fields.
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