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- Hierarchical_Dirichlet_process abstract "In statistics and machine learning, the hierarchical Dirichlet process (HDP) is a nonparametric Bayesian approach to clustering grouped data. It uses a Dirichlet process for each group of data, with the Dirichlet processes for all groups sharing a base distribution which is itself drawn from a Dirichlet process. This method allows groups to share statistical strength via sharing of clusters across groups. The base distribution being drawn from a Dirichlet process is important, because draws from a Dirichlet process are atomic probability measures, and the atoms will appear in all group-level Dirichlet processes. Since each atom corresponds to a cluster, clusters are shared across all groups. It was developed by Yee Whye Teh, Michael I. Jordan, David Blei and Matthew Beal and published in the Journal of the American Statistical Association in 2006.".
- Hierarchical_Dirichlet_process wikiPageID "34292221".
- Hierarchical_Dirichlet_process wikiPageRevisionID "532441152".
- Hierarchical_Dirichlet_process hasPhotoCollection Hierarchical_Dirichlet_process.
- Hierarchical_Dirichlet_process subject Category:Non-parametric_Bayesian_methods.
- Hierarchical_Dirichlet_process subject Category:Stochastic_processes.
- Hierarchical_Dirichlet_process type Ability105616246.
- Hierarchical_Dirichlet_process type Abstraction100002137.
- Hierarchical_Dirichlet_process type Cognition100023271.
- Hierarchical_Dirichlet_process type Concept105835747.
- Hierarchical_Dirichlet_process type Content105809192.
- Hierarchical_Dirichlet_process type Hypothesis105888929.
- Hierarchical_Dirichlet_process type Idea105833840.
- Hierarchical_Dirichlet_process type Know-how105616786.
- Hierarchical_Dirichlet_process type Method105660268.
- Hierarchical_Dirichlet_process type Model105890249.
- Hierarchical_Dirichlet_process type Non-parametricBayesianMethods.
- Hierarchical_Dirichlet_process type PsychologicalFeature100023100.
- Hierarchical_Dirichlet_process type StochasticProcess113561896.
- Hierarchical_Dirichlet_process type StochasticProcesses.
- Hierarchical_Dirichlet_process comment "In statistics and machine learning, the hierarchical Dirichlet process (HDP) is a nonparametric Bayesian approach to clustering grouped data. It uses a Dirichlet process for each group of data, with the Dirichlet processes for all groups sharing a base distribution which is itself drawn from a Dirichlet process. This method allows groups to share statistical strength via sharing of clusters across groups.".
- Hierarchical_Dirichlet_process label "Hierarchical Dirichlet process".
- Hierarchical_Dirichlet_process sameAs m.0hzrtkr.
- Hierarchical_Dirichlet_process sameAs Q5753066.
- Hierarchical_Dirichlet_process sameAs Q5753066.
- Hierarchical_Dirichlet_process sameAs Hierarchical_Dirichlet_process.
- Hierarchical_Dirichlet_process wasDerivedFrom Hierarchical_Dirichlet_process?oldid=532441152.
- Hierarchical_Dirichlet_process isPrimaryTopicOf Hierarchical_Dirichlet_process.