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Volumn , Issue , 2008, Pages 587-594

Hybrid variational/Gibbs collapsed inference in topic models

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COSTS; GIBBS SAMPLING; HYBRID ALGORITHMS; INFERENCE ALGORITHM; TEST SETS; TOPIC MODEL; VARIATIONAL BAYESIAN; VARIATIONAL INFERENCE;

EID: 66849117589     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (15)
  • 1
    • 3543081155 scopus 로고    scopus 로고
    • (Technical Report). Gatsby Computational Neuroscience Unit, University College London, London, UK. PhD. Thesis
    • Beal, M. (2003). Variational algorithms for approximate Bayesian inference (Technical Report). Gatsby Computational Neuroscience Unit, University College London, London, UK. PhD. Thesis.
    • (2003) Variational Algorithms for Approximate Bayesian Inference
    • Beal, M.1
  • 4
    • 84945258136 scopus 로고    scopus 로고
    • Variational extensions to em and multinomial pca
    • Helsinki, Finland: Springer
    • Buntine,W. (Ed.). (2002). Variational extensions to em and multinomial pca, vol. 2430 of Lecture Notes in Computer Science. Helsinki, Finland: Springer.
    • (2002) Lecture Notes in Computer Science , vol.2430
    • Buntine, W.1
  • 6
    • 0002205556 scopus 로고    scopus 로고
    • Rao-blackwellisation of sampling schemes
    • Castella, G., & Robert, C. (1996). Rao-blackwellisation of sampling schemes. Biometrika, 83(1), 81-94.
    • (1996) Biometrika , vol.83 , Issue.1 , pp. 81-94
    • Castella, G.1    Robert, C.2
  • 7
    • 0002241694 scopus 로고
    • The SEM algorithm: A probabilistic teacher algorithm derived from the em algorithm for the mixture problem
    • Celeux, G., & Diebolt, J. (1985). The SEM algorithm: a probabilistic teacher algorithm derived from the EM algorithm for the mixture problem. Comp. Statis. Quaterly, 2, 73-82.
    • (1985) Comp. Statis. Quaterly , vol.2 , pp. 73-82
    • Celeux, G.1    Diebolt, J.2
  • 14
    • 85057250999 scopus 로고    scopus 로고
    • A collapsed variational bayesian inference algorithm for latent dirichlet allocation
    • Teh, Y., Newman, D., & Welling, M. (2006). A collapsed variational bayesian inference algorithm for latent dirichlet allocation. NIPS.
    • (2006) NIPS
    • Teh, Y.1    Newman, D.2    Welling, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.