메뉴 건너뛰기




Volumn , Issue , 2005, Pages 437-444

Dirichlet enhanced latent semantic analysis

Author keywords

[No Author keywords available]

Indexed keywords

DIRICHLET; DIRICHLET PROCESS; INFINITE DIMENSIONS; LATENT FACTOR; LATENT SEMANTIC ANALYSIS; MARKOV CHAIN MONTE CARLO; MODEL COMPLEXITY; NON-PARAMETRIC BAYESIAN; NON-PARAMETRIC MODEL; STATISTICAL DEPENDENCIES; TEXT DATA; VARIATIONAL INFERENCE;

EID: 84862635248     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (17)
  • 5
    • 0001120413 scopus 로고
    • A Bayesian analysis of some non-parametric problems
    • T. S. Ferguson. A Bayesian analysis of some non-parametric problems. Annals of Statistics, 1:209-230, 1973.
    • (1973) Annals of Statistics , vol.1 , pp. 209-230
    • Ferguson, T.S.1
  • 7
    • 85026972772 scopus 로고    scopus 로고
    • Probabilistic latent semantic indexing
    • Berkeley, California, August
    • T. Hofmann. Probabilistic Latent Semantic Indexing. In Proceedings of the 22nd Annual ACM SIGIR Conference, pages 50-57, Berkeley, California, August 1999.
    • (1999) Proceedings of the 22nd Annual ACM SIGIR Conference , pp. 50-57
    • Hofmann, T.1
  • 9
    • 0036623091 scopus 로고    scopus 로고
    • Exact and approximate sum-representations for the dirichlet process
    • H. Ishwaran and M. Zarepour. Exact and approximate sum-representations for the Dirichlet process. Can. J. Statist, 30:269-283, 2002.
    • (2002) Can. J. Statist , vol.30 , pp. 269-283
    • Ishwaran, H.1    Zarepour, M.2
  • 10
    • 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
  • 12
    • 77950032550 scopus 로고    scopus 로고
    • Markov chain sampling methods for dirichlet process mixture models
    • R. M. Neal. Markov chain sampling methods for Dirichlet process mixture models. Journal of Computational and Graphical Statistics, 9:249-265, 2000.
    • (2000) Journal of Computational and Graphical Statistics , vol.9 , pp. 249-265
    • Neal, R.M.1
  • 14
    • 0000720609 scopus 로고
    • A constructive definition of dirichlet priors
    • J. Sethuraman. A constructive definition of Dirichlet priors. Statistica Sinica, 4:639-650, 1994.
    • (1994) Statistica Sinica , vol.4 , pp. 639-650
    • Sethuraman, J.1
  • 16
    • 31844453114 scopus 로고    scopus 로고
    • An introduction to non-parametric hierarchical Bayesian modelling with a focus on multi-agent learning
    • Lecture Notes in Computing Science
    • V. Tresp and K. Yu. An introduction to non-parametric hierarchical bayesian modelling with a focus on multi-agent learning. In Proceedings of the Hamilton Summer School on Switching and Learning in Feedback Systems. Lecture Notes in Computing Science, 2004.
    • (2004) Proceedings of the Hamilton Summer School on Switching and Learning in Feedback Systems
    • Tresp, V.1    Yu, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.