world:lda
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world:lda [2023/01/16 10:47] rdouc |
world:lda [2023/02/07 10:48] (current) rdouc |
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| ====== Sujet et ressources ====== | ====== Sujet et ressources ====== | ||
| - | Ce projet de recherche consistera à étudier le papier: | + | * **Binôme:** Paul Héllégouarch et Yassine Maalej |
| - | * [[https://jmlr.org/papers/volume14/hoffman13a/hoffman13a.pdf|Stochastic Variational Inférence]] | + | |
| + | Ce projet de recherche consistera à étudier les papiers: | ||
| + | * [[https://jmlr.org/papers/volume14/hoffman13a/hoffman13a.pdf|Stochastic Variational Inférence]] (LDA, version appliquée via Stochastic VI) | ||
| + | * [[https://users.stat.ufl.edu/~doss/Research/lda-ntopics.pdf|Inference for the Number of Topics in the Latent | ||
| + | Dirichlet Allocation Model via Bayesian Mixture | ||
| + | Modelling]] by Zhe Chen and Ani Doss, 2019. (LDA version théorique via Bayesian Mixture modelling et Monte Carlo by Markov Chains techniques) | ||
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| * Le papier original introduisant la LDA est celui là: [[https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf?ref=https://githubhelp.com| Latent Dirichlet Allocation, 2003]] by David Blei, Andrew Ng, Michael Jordan. On pourra lire aussi cette survey [[https://www.eecis.udel.edu/~shatkay/Course/papers/UIntrotoTopicModelsBlei2011-5.pdf| Introduction to probabilistic topics models]] | * Le papier original introduisant la LDA est celui là: [[https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf?ref=https://githubhelp.com| Latent Dirichlet Allocation, 2003]] by David Blei, Andrew Ng, Michael Jordan. On pourra lire aussi cette survey [[https://www.eecis.udel.edu/~shatkay/Course/papers/UIntrotoTopicModelsBlei2011-5.pdf| Introduction to probabilistic topics models]] | ||
| - | * Pour la partie théorique sur des méthodes impliquant la LDA, on pourra lire certaines propriétés dans: [[https://www.eecis.udel.edu/~shatkay/Course/papers/UIntrotoTopicModelsBlei2011-5.pdf|Introduction to probabilistic topics models Inference for the Number of Topics in the LDA Model via Bayesian Mixture Modeling]] by Zhe Chen and Ani Doss, 2019. Une version complète de l'article figure ici [[https://users.stat.ufl.edu/~doss/Research/lda-ntopics.pdf|cliquer ici]] | ||
world/lda.1673862463.txt.gz · Last modified: 2023/01/16 10:47 by rdouc
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