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Volumn , Issue , 2009, Pages 607-614

The Infinite Latent Events Model

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS;

EID: 80053162986     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (16)
  • 5
    • 0002049440 scopus 로고    scopus 로고
    • Learning Dynamic Bayesian Networks
    • Adaptive Processing of Sequences and Data Structures
    • Z. Ghahramani. Learning dynamic Bayesian networks. In Adaptive Processing of Sequences and Data Structures, pages 168-197. Springer-Verlag, 1998. (Pubitemid 128056031)
    • (1998) Lecture Notes in Computer Science , Issue.1387 , pp. 168-197
    • Ghahramani, Z.1
  • 6
    • 0031268341 scopus 로고    scopus 로고
    • Factorial Hidden Markov Models
    • Z. Ghahramani and M. I. Jordan. Factorial hidden Markov models. Machine Learning, 29:245-273, 1997. (Pubitemid 127510040)
    • (1997) Machine Learning , vol.29 , Issue.2-3 , pp. 245-273
    • Ghahramani, Z.1    Jordan, M.I.2
  • 9
    • 0001241617 scopus 로고
    • Nonparametric Bayes estimators based on beta processes in models for life history data
    • N. L. Hjort. Nonparametric Bayes estimators based on beta processes in models for life history data. The Annals of Statistics, 18(3):1259-1294, 1990.
    • (1990) The Annals of Statistics , vol.18 , Issue.3 , pp. 1259-1294
    • Hjort, N.L.1
  • 10
    • 43049129993 scopus 로고    scopus 로고
    • Learning the structure of dynamic Bayesian networks from time series and steady state measurements
    • H. Lahdesmaki and I. Shmulevich. Learning the structure of dynamic Bayesian networks from time series and steady state measurements. Machine Learning, 71(2-3):185-217, 2008.
    • (2008) Machine Learning , vol.71 , Issue.2-3 , pp. 185-217
    • Lahdesmaki, H.1    Shmulevich, I.2
  • 11
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • D. D. Lee and H. S. Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401:788-791, 1999.
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 12
    • 0036025698 scopus 로고    scopus 로고
    • Poisson-dirichlet and gem invariant distributions for split-and-merge transformations of an interval partition
    • J. Pitman. Poisson-dirichlet and gem invariant distributions for split-and-merge transformations of an interval partition. Combinatorics, Probability and Computing, 11:501514, 2002.
    • (2002) Combinatorics Probability and Computing , vol.11 , pp. 501514
    • Pitman, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.