Latent dirichlet allocation
Citations
157 citations
Cites methods from "Latent dirichlet allocation"
...In contrast, we classify the point clouds on the point clusters with the help of our novel latent Dirichlet allocation (LDA)based features, instead of relying on explicit object separation....
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157 citations
157 citations
157 citations
Cites background or methods from "Latent dirichlet allocation"
...In the standard topic models [Blei et al. 2003; Wallach et al. 2009], a document (i.e., a bag of words) contains a mixture of topics, represented by a topic distribution, and each word has a hidden topic label....
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...Most existing researches on LDA-like model utilize various inference algorithms, such as variational Bayesian [Blei et al. 2003; Foulds et al. 2013], Gibbs sampling [Griffiths and Steyvers 2004], expectation propagation [Minka and Lafferty 2002] and belief propagation [Zeng et al....
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...To avoid overfitting, we place a Dirichlet prior [Blei et al. 2003; Wallach et al. 2009] over each multinomial distribution....
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...In the standard topic models [Blei et al. 2003; Wallach et al. 2009], a document (i....
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157 citations
Cites methods from "Latent dirichlet allocation"
...the rating is sampled from a Gaussian mixture. „e Collaborative Topic Regression (CTR) model proposed in [39] is a content based approach, as opposed to a context / review based approach. It uses LDA [5] to model the text of documents (scienti•c articles), and a combination of MF and content based model for recommendation. „e Rating-boosted Latent Topics (RBLT) model of [37] uses a simple technique o...
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References
17,608 citations
16,079 citations
"Latent dirichlet allocation" refers background in this paper
...Finally, Griffiths and Steyvers (2002) have presented a Markov chain Monte Carlo algorithm for LDA....
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...Structures similar to that shown in Figure 1 are often studied in Bayesian statistical modeling, where they are referred to ashierarchical models(Gelman et al., 1995), or more precisely asconditionally independent hierarchical models(Kass and Steffey, 1989)....
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...Structures similar to that shown in Figure 1 are often studied in Bayesian statistical modeling, where they are referred to as hierarchical models (Gelman et al., 1995), or more precisely as conditionally independent hierarchical models (Kass and Steffey, 1989)....
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12,443 citations
"Latent dirichlet allocation" refers methods in this paper
...To address these shortcomings, IR researchers have proposed several other dimensionality reduction techniques, most notably latent semantic indexing (LSI) (Deerwester et al., 1990)....
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...To address these shortcomings, IR researchers have proposed several other dimensionality reduction techniques, most notablylatent semantic indexing (LSI)(Deerwester et al., 1990)....
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12,059 citations
"Latent dirichlet allocation" refers background or methods in this paper
...In the populartf-idf scheme (Salton and McGill, 1983), a basic vocabulary of “words” or “terms” is chosen, and, for each document in the corpus, a count is formed of the number of occurrences of each word....
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...We report results in document modeling, text classification, and collaborative filtering, comparing to a mixture of unigrams model and the probabilistic LSI model....
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7,086 citations