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Volumn , Issue , 2011, Pages 410-418

Pitman-Yor diffusion trees

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BINARY TREES; DIFFUSION; HIERARCHICAL CLUSTERING; INFERENCE ENGINES; MESSAGE PASSING; UNCERTAINTY ANALYSIS;

EID: 80053153930     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (24)
  • 4
    • 76849117578 scopus 로고    scopus 로고
    • The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies
    • Blei, D. M., Griffiths, T. L., and Jordan, M. I. (2010). The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies. Journal of the ACM, 57.
    • (2010) Journal of the ACM , vol.57
    • Blei, D.M.1    Griffiths, T.L.2    Jordan, M.I.3
  • 12
    • 0026890725 scopus 로고
    • Robust part-of-speech tagging using a hidden markov model
    • Kupiec, J. (1992). Robust part-of-speech tagging using a hidden markov model. Computer Speech & Language, 6(3):225-242.
    • (1992) Computer Speech & Language , vol.6 , Issue.3 , pp. 225-242
    • Kupiec, J.1
  • 13
    • 33646887390 scopus 로고
    • On the limited memory BFGS method for large scale optimization
    • Liu, D. C. and Nocedal, J. (1989). On the limited memory BFGS method for large scale optimization. Mathematical Programming, 45:503-528. (Pubitemid 20660315)
    • (1989) Mathematical Programming, Series B , vol.45 , Issue.3 , pp. 503-528
    • Liu Dong, C.1    Nocedal Jorge2
  • 14
    • 58149327084 scopus 로고    scopus 로고
    • Gibbs fragmentation trees
    • McCullagh, P., Pitman, J., and Winkel, M. (2008). Gibbs fragmentation trees. Bernoulli, 14(4):988-1002.
    • (2008) Bernoulli , vol.14 , Issue.4 , pp. 988-1002
    • McCullagh, P.1    Pitman, J.2    Winkel, M.3
  • 15
    • 0345978970 scopus 로고    scopus 로고
    • Expectation propagation for approximate bayesian inference
    • Minka, T. P. (2001). Expectation propagation for approximate bayesian inference. In Uncertainty in Artificial Intelligence, volume 17.
    • (2001) Uncertainty in Artificial Intelligence , vol.17
    • Minka, T.P.1
  • 16
    • 80053146342 scopus 로고    scopus 로고
    • Infer.NET 2.4
    • Minka, T. P., Winn, J. M., Guiver, J. P., and Knowles, D. A. (2010). Infer.NET 2.4. Microsoft Research Cambridge. http://research.microsoft.com/ infernet.
    • (2010)
    • Minka, T.P.1    Winn, J.M.2    Guiver, J.P.3    Knowles, D.A.4
  • 17
    • 1642370803 scopus 로고    scopus 로고
    • Slice sampling
    • DOI 10.1214/aos/1056562461
    • Neal, R. (2003a). Slice sampling. The annals of statistics, 31(3):705-741. (Pubitemid 38640403)
    • (2003) Annals of Statistics , vol.31 , Issue.3 , pp. 705-741
    • Neal, R.M.1
  • 19
    • 31844452656 scopus 로고    scopus 로고
    • Density modeling and clustering using Dirichlet Diffusion trees
    • Neal, R. M. (2003b). Density modeling and clustering using Dirichlet Diffusion trees. Bayesian Statistics, 7:619-629.
    • (2003) Bayesian Statistics , vol.7 , pp. 619-629
    • Neal, R.M.1
  • 22
    • 38049151407 scopus 로고    scopus 로고
    • A hierarchical Bayesian language model based on Pitman-Yor processes
    • Association for Computational Linguistics
    • Teh, Y. W. (2006). A hierarchical Bayesian language model based on Pitman-Yor processes. In Proceedings of the 21st International Conference on Computational Linguistics, page 992. Association for Computational Linguistics.
    • (2006) Proceedings of the 21st International Conference on Computational Linguistics , pp. 992
    • Teh, Y.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.