A Nonparametric Bayesian Model of Multi-Level Category Learning | Zendy

Kevin Robert Canini | Zendy; Thomas L. Griffiths | Zendy

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A Nonparametric Bayesian Model of Multi-Level Category Learning

Author(s) -

Kevin Robert Canini,

Thomas L. Griffiths

Publication year - 2011

Publication title -

proceedings of the aaai conference on artificial intelligence

Language(s) - English

Resource type - Journals

eISSN - 2374-3468

pISSN - 2159-5399

DOI - 10.1609/aaai.v25i1.7891

Subject(s) - hierarchical dirichlet process , dirichlet process , inference , computer science , dirichlet distribution , tree structure , artificial intelligence , bayesian probability , nonparametric statistics , machine learning , tree (set theory) , bayesian inference , taxonomy (biology) , natural language processing , node (physics) , task (project management) , latent dirichlet allocation , mathematics , statistics , topic model , binary tree , algorithm , mathematical analysis , botany , management , structural engineering , engineering , economics , biology , boundary value problem

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