In natural language processing, latent Dirichlet allocation (LDA) is a Bayesian network (and, therefore, a generative statistical model) for modeling...

Jordan, Ng co-authored the influential paper that introduced latent Dirichlet allocation (LDA) for his thesis on reinforcement learning for drones. His...

documents. The algorithm improves upon earlier topic models such as latent Dirichlet allocation (LDA) by modeling correlations between topics in addition to...

is not a proper generative model for new documents. Latent Dirichlet allocation – adds a Dirichlet prior on the per-document topic distribution Higher-order...

principle/Dirichlet's box (or drawer) principle (combinatorics) Latent Dirichlet allocation Class number formula Dirichlet membrane 11665 Dirichlet Dirichlet (crater)...

algorithm Bayesian statistics is often used for inferring latent variables. Latent Dirichlet allocation The Chinese restaurant process is often used to provide...

S2CID 572361. David M. Blei, Andrew Y. Ng, Michael I. Jordan. Latent Dirichlet allocation. The Journal of Machine Learning Research, Volume 3, 3/1/2003...

Generalized Dirichlet distribution Grouped Dirichlet distribution Inverted Dirichlet distribution Latent Dirichlet allocation Dirichlet process Matrix...

represented as vectors in term space. A prominent example is PLSI. Latent Dirichlet allocation involves attributing document terms to topics. n-grams and hidden...

analysis Spamdexing Word vector Topic model Latent Dirichlet allocation Susan T. Dumais (2005). "Latent Semantic Analysis". Annual Review of Information...