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- 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 wikiPageLength "4594".
- Pachinko_allocation wikiPageOutDegree "17".
- Pachinko_allocation wikiPageRevisionID "664081235".
- Pachinko_allocation wikiPageWikiLink Andrew_McCallum.
- Pachinko_allocation wikiPageWikiLink Andrew_Ng.
- Pachinko_allocation wikiPageWikiLink Bioinformatics.
- Pachinko_allocation wikiPageWikiLink Category:Latent_variable_models.
- Pachinko_allocation wikiPageWikiLink Category:Statistical_natural_language_processing.
- Pachinko_allocation wikiPageWikiLink David_Blei.
- Pachinko_allocation wikiPageWikiLink Latent_Dirichlet_allocation.
- Pachinko_allocation wikiPageWikiLink Machine_learning.
- Pachinko_allocation wikiPageWikiLink Mallet_(software_project).
- Pachinko_allocation wikiPageWikiLink Michael_I._Jordan.
- Pachinko_allocation wikiPageWikiLink Natural_language_processing.
- Pachinko_allocation wikiPageWikiLink Pachinko.
- Pachinko_allocation wikiPageWikiLink Probabilistic_latent_semantic_analysis.
- Pachinko_allocation wikiPageWikiLink Topic_model.
- Pachinko_allocation wikiPageWikiLink University_of_Massachusetts_Amherst.
- Pachinko_allocation wikiPageWikiLinkText "Pachinko allocation".
- Pachinko_allocation wikiPageUsesTemplate Template:Comp-sci-stub.
- Pachinko_allocation wikiPageUsesTemplate Template:Natural_Language_Processing.
- Pachinko_allocation wikiPageUsesTemplate Template:Primary_sources.
- Pachinko_allocation wikiPageUsesTemplate Template:Reflist.
- Pachinko_allocation subject Category:Latent_variable_models.
- Pachinko_allocation subject Category:Statistical_natural_language_processing.
- Pachinko_allocation hypernym Model.
- Pachinko_allocation type Model.
- Pachinko_allocation type Person.
- Pachinko_allocation type Field.
- Pachinko_allocation type Model.
- Pachinko_allocation type Variable.
- 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 Q7122036.
- Pachinko_allocation sameAs m.0cmcrkj.
- Pachinko_allocation sameAs Размещение_патинко.
- Pachinko_allocation sameAs Q7122036.
- Pachinko_allocation wasDerivedFrom Pachinko_allocation?oldid=664081235.
- Pachinko_allocation isPrimaryTopicOf Pachinko_allocation.