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Volumn , Issue PART 1, 2013, Pages 98-106

Parallel Markov chain Monte Carlo for nonparametric mixture models

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS;

EID: 84897382844     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (76)

References (22)
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  • 3
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    • Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
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    • Asuncion, A., Smyth, P., and Welling, M. Asynchronous distributed learning of topic models. In NIPS, 2008.
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    • Asuncion, A.1    Smyth, P.2    Welling, M.3
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    • Variational methods for the Dirichlet process
    • Blei, D. M. and Jordan, M. I. Variational methods for the Dirichlet process. In ICML, 2004.
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    • Blei, D.M.1    Jordan, M.I.2
  • 6
    • 3843139378 scopus 로고    scopus 로고
    • Particle filters for mixture models with an unknown number of components
    • DOI 10.1023/B:STCO.0000009418.04621.cd
    • Fearnhead, P. Particle filters for mixture models with an unknown number of components. Statistics and Computing, 14:11-21, 2004. (Pubitemid 39046598)
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    • Fearnhead, P.1
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    • A Bayesian analysis of some nonparametric problems
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    • Ishwaran, H. and James, L. F. Gibbs sampling methods for stick-breaking priors. JASA, 96(453):161-173, 2001.
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    • Ishwaran, H.1    James, L.F.2
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    • Collapsed variational Dirichlet process mixture models
    • Kurihara, K., Welling, M., and Teh, Y.-W. Collapsed variational Dirichlet process mixture models. In IJCAI, 2007.
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    • Kurihara, K.1    Welling, M.2    Teh, Y.-W.3
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    • Sohn, K.-A. and Xing, E. P. A hierarchical Dirichlet process mixture model for haplotype reconstruction from multi-population data. Ann. Appl. Stat., 3(2):791-821, 2009.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.