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Abstract. Presents parameter estimation methods common with discrete probability
distributions, which is of particular interest in text modeling. Starting with
maximum likelihood, a posteriori and Bayesian estimation, central concepts like
conjugate distributions and Bayesian networks are reviewed. As an application,
the model of latent Dirichlet allocation (LDA) is explained in detail with a full
derivation of an approximate inference algorithm based on Gibbs sampling, including
a discussion of Dirichlet hyperparameter estimation.
http://www.arbylon.net/publications/text-est.pdf
这是一条镜像帖。来源：北邮人论坛 / ml-dm / #11259同步于 2013/8/23
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【转载】Parameter estimation for text analysis
crazyzhang
2013/8/23镜像同步1 回复
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