Latent dirichlet allocation
Citations
200 citations
Cites background from "Latent dirichlet allocation"
...Recent examples of HB modelling in machine learning include [1, 2 ]. In other contexts, this learning framework is called multi-task learning [4]....
[...]
199 citations
Cites methods from "Latent dirichlet allocation"
...As a classifier for the activity recognition, the authors employ the latent Dirichlet allocation [165] combined with Gibbs sampling....
[...]
199 citations
198 citations
Cites background or methods from "Latent dirichlet allocation"
...Although the posterior distribution is intractable for exact inference, a wide variety of approximate inference algorithm can be considered for LDA [3]....
[...]
...1) by using a latent random variable θ rather than a large set of individual parameters which are explicitly linked to the training reviews [3]....
[...]
...One reasonable approach to avoid overfitting is assigning probability to previously unseen data by marginalizing over seen data [3]....
[...]
...Then we extend the most well-known method for unsupervised modeling of documents, Latent Dirichlet Allocation (LDA) [3] to solve the considered problem....
[...]
...For this reason, PLSI is not a well-defined generative model of reviews [3]....
[...]
198 citations
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....
[...]
...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)....
[...]
...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)....
[...]
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)....
[...]
...To address these shortcomings, IR researchers have proposed several other dimensionality reduction techniques, most notablylatent semantic indexing (LSI)(Deerwester et al., 1990)....
[...]
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....
[...]
...We report results in document modeling, text classification, and collaborative filtering, comparing to a mixture of unigrams model and the probabilistic LSI model....
[...]
7,086 citations