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Volumn 5, Issue , 2009, Pages 583-590

Markov topic models

Author keywords

[No Author keywords available]

Indexed keywords

EFFICIENT ESTIMATION; EXPECTATION MAXIMIZATION; GAUSSIANS; PROBABILISTIC MODELS; RANDOM FIELDS; STATE OF THE ART; TOPIC MODEL; TOPIC STRUCTURES;

EID: 84862295166     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (18)
  • 3
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    • Latent Dirichlet allocation
    • ISSN 1533-7928
    • D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent Dirichlet allocation. J. Mach. Learn. Res., 3:993-1022, 2003. ISSN 1533-7928.
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    • Blei, D.M.1    Ng, A.Y.2    Jordan, M.I.3
  • 4
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    • Applying discrete PCA in data analysis
    • AUAI Press
    • W. Buntine. Applying discrete PCA in data analysis. In UAI. AUAI Press, 2004.
    • (2004) UAI
    • Buntine, W.1
  • 5
    • 33745155436 scopus 로고    scopus 로고
    • A Bayesian hierarchical model for learning natural scene categories
    • L. Fei-Fei and P. Perona. A Bayesian hierarchical model for learning natural scene categories. In CVPR, 2005.
    • (2005) CVPR
    • Fei-Fei, L.1    Perona, P.2
  • 7
    • 0033225865 scopus 로고    scopus 로고
    • An introduction to variational methods for graphical models
    • M. I. Jordan, Z. Ghahramani, T. Jaakkola, and L. K. Saul. An introduction to variational methods for graphical models. Machine Learning, 37(2):183-233, 1999.
    • (1999) Machine Learning , vol.37 , Issue.2 , pp. 183-233
    • Jordan, M.I.1    Ghahramani, Z.2    Jaakkola, T.3    Saul, L.K.4
  • 8
    • 33646887390 scopus 로고
    • On the limited memory BFGS method for large scale optimization
    • D. C. Liu and J. Nocedal. On the limited memory BFGS method for large scale optimization. Math. Program., 45(3):503-528, 1989.
    • (1989) Math. Program , vol.45 , Issue.3 , pp. 503-528
    • Liu, D.C.1    Nocedal, J.2
  • 9
    • 70449504107 scopus 로고    scopus 로고
    • Modeling user rating profiles for collaborative filtering
    • MIT Press
    • B. Marlin. Modeling user rating profiles for collaborative filtering. In NIPS. MIT Press, 2003.
    • (2003) NIPS
    • Marlin, B.1
  • 10
    • 67649878830 scopus 로고    scopus 로고
    • A probabilistic approach to spatiotemporal theme pattern mining on weblogs
    • ACM
    • Q. Mei, C. Liu, H. Su, and C. Zhai. A probabilistic approach to spatiotemporal theme pattern mining on weblogs. In WWW. ACM, 2006.
    • (2006) WWW
    • Mei, Q.1    Liu, C.2    Su, H.3    Zhai, C.4
  • 11
    • 57349152312 scopus 로고    scopus 로고
    • Topic modeling with network regularization
    • Q. Mei, D. Cai, D. Zhang, and C. Zhai. Topic modeling with network regularization. In WWW, 2008.
    • (2008) WWW
    • Mei, Q.1    Cai, D.2    Zhang, D.3    Zhai, C.4
  • 12
    • 33747163541 scopus 로고    scopus 로고
    • High-dimensional graphs and variable selection with the lasso
    • N. Meinshausen and P. Bühlmann. High-dimensional graphs and variable selection with the lasso. Annals of Statistics, 34(3): 1436-1462, 2006.
    • (2006) Annals of Statistics , vol.34 , Issue.3 , pp. 1436-1462
    • Meinshausen, N.1    Bühlmann, P.2
  • 14
    • 21844498858 scopus 로고
    • Convergence of the iterative proportional fitting procedure
    • L. Ruschendorf. Convergence of the iterative proportional fitting procedure. The Annals of Statistics, 23(4):1160-1174, 1995.
    • (1995) The Annals of Statistics , vol.23 , Issue.4 , pp. 1160-1174
    • Ruschendorf, L.1
  • 16
    • 80053284667 scopus 로고    scopus 로고
    • Continuous time dynamic topic models
    • C. Wang, D. Blei, and D. Heckerman. Continuous time dynamic topic models. In UAI, 2008.
    • (2008) UAI
    • Wang, C.1    Blei, D.2    Heckerman, D.3
  • 17
    • 33749565782 scopus 로고    scopus 로고
    • Topics over time: A non-Markov continuous-time model of topical trends
    • X. Wang and A. McCallum. Topics over time: a non-Markov continuous-time model of topical trends. In KDD, 2006.
    • (2006) KDD
    • Wang, X.1    McCallum, A.2
  • 18
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    • LDA-based document models for ad-hoc retrieval
    • New York, NY, USA, ACM
    • X.Wei and W. B. Croft. LDA-based document models for ad-hoc retrieval. In SIGIR, New York, NY, USA, 2006. ACM.
    • (2006) SIGIR
    • Wei, X.1    Croft, W.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.