Matches in DBpedia 2014 for { <http://dbpedia.org/resource/Pachinko_allocation> ?p ?o. }
Showing items 1 to 28 of
28
with 100 items per page.
- Pachinko_allocation abstract "In machine learning and natural language processing, the pachinko allocation model (PAM) is a topic model. Topic models are a suite of algorithms to uncover the hidden thematic structure of a collection of documents. The algorithm improves upon earlier topic models such as latent Dirichlet allocation (LDA) by modeling correlations between topics in addition to the word correlations which constitute topics. PAM provides more flexibility and greater expressive powerthan latent Dirichlet allocation. While first described and implemented in the context of natural language processing, the algorithm may have applications in other fields such as bioinformatics. Themodel is named for pachinko machines—a game popular in Japan, in which metal balls bounce down arounda complex collection of pins until they land in variousbins at the bottom.".
- Pachinko_allocation wikiPageExternalLink icml07_mimno_moht.
- Pachinko_allocation wikiPageID "28082011".
- Pachinko_allocation wikiPageRevisionID "592733281".
- Pachinko_allocation hasPhotoCollection Pachinko_allocation.
- Pachinko_allocation subject Category:Latent_variable_models.
- Pachinko_allocation subject Category:Statistical_natural_language_processing.
- Pachinko_allocation type Assistant109815790.
- Pachinko_allocation type CausalAgent100007347.
- Pachinko_allocation type LatentVariableModels.
- Pachinko_allocation type LivingThing100004258.
- Pachinko_allocation type Model110324560.
- Pachinko_allocation type Object100002684.
- Pachinko_allocation type Organism100004475.
- Pachinko_allocation type Person100007846.
- Pachinko_allocation type PhysicalEntity100001930.
- Pachinko_allocation type Whole100003553.
- Pachinko_allocation type Worker109632518.
- Pachinko_allocation type YagoLegalActor.
- Pachinko_allocation type YagoLegalActorGeo.
- Pachinko_allocation comment "In machine learning and natural language processing, the pachinko allocation model (PAM) is a topic model. Topic models are a suite of algorithms to uncover the hidden thematic structure of a collection of documents. The algorithm improves upon earlier topic models such as latent Dirichlet allocation (LDA) by modeling correlations between topics in addition to the word correlations which constitute topics.".
- Pachinko_allocation label "Pachinko allocation".
- Pachinko_allocation sameAs m.0cmcrkj.
- Pachinko_allocation sameAs Q7122036.
- Pachinko_allocation sameAs Q7122036.
- Pachinko_allocation sameAs Pachinko_allocation.
- Pachinko_allocation wasDerivedFrom Pachinko_allocation?oldid=592733281.
- Pachinko_allocation isPrimaryTopicOf Pachinko_allocation.