Matches in DBpedia 2014 for { <http://dbpedia.org/resource/Latent_Dirichlet_allocation> ?p ?o. }
Showing items 1 to 48 of
48
with 100 items per page.
- Latent_Dirichlet_allocation abstract "In natural language processing, latent Dirichlet allocation (LDA) is a generative model that allows sets of observations to be explained by unobserved groups that explain why some parts of the data are similar. For example, if observations are words collected into documents, it posits that each document is a mixture of a small number of topics and that each word's creation is attributable to one of the document's topics. LDA is an example of a topic model and was first presented as a graphical model for topic discovery by David Blei, Andrew Ng, and Michael Jordan in 2003.".
- Latent_Dirichlet_allocation thumbnail Latent_Dirichlet_allocation.svg?width=300.
- Latent_Dirichlet_allocation wikiPageExternalLink topic-modeling-tool.
- Latent_Dirichlet_allocation wikiPageExternalLink index.html.
- Latent_Dirichlet_allocation wikiPageExternalLink index.html.
- Latent_Dirichlet_allocation wikiPageExternalLink index.php.
- Latent_Dirichlet_allocation wikiPageExternalLink topics.html.
- Latent_Dirichlet_allocation wikiPageExternalLink Latent%20Dirichlet%20Allocation.aspx.
- Latent_Dirichlet_allocation wikiPageExternalLink mlss09uk_blei_tm.
- Latent_Dirichlet_allocation wikiPageExternalLink 285.
- Latent_Dirichlet_allocation wikiPageExternalLink Latent+Dirichlet+Allocation.
- Latent_Dirichlet_allocation wikiPageID "4605351".
- Latent_Dirichlet_allocation wikiPageRevisionID "600205318".
- Latent_Dirichlet_allocation hasPhotoCollection Latent_Dirichlet_allocation.
- Latent_Dirichlet_allocation subject Category:Latent_variable_models.
- Latent_Dirichlet_allocation subject Category:Probabilistic_models.
- Latent_Dirichlet_allocation subject Category:Statistical_natural_language_processing.
- Latent_Dirichlet_allocation type Assistant109815790.
- Latent_Dirichlet_allocation type CausalAgent100007347.
- Latent_Dirichlet_allocation type LatentVariableModels.
- Latent_Dirichlet_allocation type LivingThing100004258.
- Latent_Dirichlet_allocation type Model110324560.
- Latent_Dirichlet_allocation type Object100002684.
- Latent_Dirichlet_allocation type Organism100004475.
- Latent_Dirichlet_allocation type Person100007846.
- Latent_Dirichlet_allocation type PhysicalEntity100001930.
- Latent_Dirichlet_allocation type Whole100003553.
- Latent_Dirichlet_allocation type Worker109632518.
- Latent_Dirichlet_allocation type YagoLegalActor.
- Latent_Dirichlet_allocation type YagoLegalActorGeo.
- Latent_Dirichlet_allocation comment "In natural language processing, latent Dirichlet allocation (LDA) is a generative model that allows sets of observations to be explained by unobserved groups that explain why some parts of the data are similar. For example, if observations are words collected into documents, it posits that each document is a mixture of a small number of topics and that each word's creation is attributable to one of the document's topics.".
- Latent_Dirichlet_allocation label "Allocation de Dirichlet latente".
- Latent_Dirichlet_allocation label "Latent Dirichlet Allocation".
- Latent_Dirichlet_allocation label "Latent Dirichlet Allocation".
- Latent_Dirichlet_allocation label "Latent Dirichlet allocation".
- Latent_Dirichlet_allocation label "Латентное размещение Дирихле".
- Latent_Dirichlet_allocation label "隐含狄利克雷分布".
- Latent_Dirichlet_allocation sameAs Latent_Dirichlet_Allocation.
- Latent_Dirichlet_allocation sameAs Latent_Dirichlet_Allocation.
- Latent_Dirichlet_allocation sameAs Allocation_de_Dirichlet_latente.
- Latent_Dirichlet_allocation sameAs 잠재_디리클레_할당.
- Latent_Dirichlet_allocation sameAs m.0cc726.
- Latent_Dirichlet_allocation sameAs Q269236.
- Latent_Dirichlet_allocation sameAs Q269236.
- Latent_Dirichlet_allocation sameAs Latent_Dirichlet_allocation.
- Latent_Dirichlet_allocation wasDerivedFrom Latent_Dirichlet_allocation?oldid=600205318.
- Latent_Dirichlet_allocation depiction Latent_Dirichlet_allocation.svg.
- Latent_Dirichlet_allocation isPrimaryTopicOf Latent_Dirichlet_allocation.