Algorithms of the LDA model [REPORT]
نویسندگان
چکیده
We review three algorithms for Latent Dirichlet Allocation (LDA). Two of them are variational inference algorithms: Variational Bayesian inference and Online Variational Bayesian inference and one is Markov Chain Monte Carlo (MCMC) algorithm – Collapsed Gibbs sampling. We compare their time complexity and performance. We find that online variational Bayesian inference is the fastest algorithm and still returns reasonably good results.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1307.0317 شماره
صفحات -
تاریخ انتشار 2013