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Volumn , Issue , 2009, Pages 281-288

Accounting for burstiness in topic models

Author keywords

[No Author keywords available]

Indexed keywords

BURSTINESS; DATA SETS; DIRICHLET; FUNDAMENTAL PROPERTIES; LATENT DIRICHLET ALLOCATIONS; MULTINOMIALS; NEW MODEL; TOPIC MODEL;

EID: 71149085755     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (86)

References (18)
  • 1
    • 70049113847 scopus 로고    scopus 로고
    • Mixed membership analysis of genome-wide expression data. Arxiv
    • preprint arXiv:0711.2520
    • Airoldi, E. M., Fienberg, S. E., & Xing, E. P. (2007). Mixed membership analysis of genome-wide expression data. Arxiv preprint arXiv:0711.2520.
    • (2007)
    • Airoldi, E.M.1    Fienberg, S.E.2    Xing, E.P.3
  • 5
    • 0030376179 scopus 로고    scopus 로고
    • Stochastic versions of the EM algorithm: An experimental study in the mixture case
    • Celeux, G., Chaveau, D., & Diebolt, J. (1996). Stochastic versions of the EM algorithm: An experimental study in the mixture case. J. of Statistical Computation and Simulation, 55, 287-314.
    • (1996) J. of Statistical Computation and Simulation , vol.55 , pp. 287-314
    • Celeux, G.1    Chaveau, D.2    Diebolt, J.3
  • 7
    • 33749257142 scopus 로고    scopus 로고
    • Clustering documents with an exponential-family approximation of the Dirichlet compound multinomial distribution
    • Elkan, C. (2006). Clustering documents with an exponential-family approximation of the Dirichlet compound multinomial distribution. Proceedings of the 23rd International Conference on Machine Learning (pp. 289-296).
    • (2006) Proceedings of the 23rd International Conference on Machine Learning , pp. 289-296
    • Elkan, C.1
  • 14
    • 70049094990 scopus 로고    scopus 로고
    • Pachinko allocation: Scalable mixture models of topic correlations
    • Submitted
    • Li, W., & McCallum, A. (2008). Pachinko allocation: Scalable mixture models of topic correlations. J. of Machine Learning Research. Submitted.
    • (2008) J. of Machine Learning Research
    • Li, W.1    McCallum, A.2
  • 16
    • 0003078723 scopus 로고
    • Approximate Bayesian inference with the weighted likelihood bootstrap
    • Newton, M., & Raftery, A. (1994). Approximate Bayesian inference with the weighted likelihood bootstrap. Journal of the Royal Statistical Society B, 56, 3-48.
    • (1994) Journal of the Royal Statistical Society B , vol.56 , pp. 3-48
    • Newton, M.1    Raftery, A.2
  • 18
    • 0031345518 scopus 로고    scopus 로고
    • Algorithm 778: L-BFGS-B: Fortran routines for large scale bound constrained optimization
    • Zhu, C., Byrd, R. H., Lu, P., & Nocedal, J. (1997). Algorithm 778: L-BFGS-B: Fortran routines for large scale bound constrained optimization. ACM Transactions on Mathematical Software, 23, 550-560.
    • (1997) ACM Transactions on Mathematical Software , vol.23 , pp. 550-560
    • Zhu, C.1    Byrd, R.H.2    Lu, P.3    Nocedal, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.