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Volumn , Issue , 2005, Pages 300-307

'Say EM' for selecting probabilistic models for logical sequences

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; INDUCTIVE LOGIC PROGRAMMING (ILP); MAXIMUM PRINCIPLE;

EID: 33744459255     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (22)
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    • (2001) Machine Learning , vol.44 , Issue.1-2 , pp. 185-197
    • Carrasco, R.C.1    Oncina, J.2    Calera-Rubio, J.3
  • 5
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the em algorithm
    • A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the EM algorithm. J. Royal Stat. Soc., B 39:1-39, 1977.
    • (1977) J. Royal Stat. Soc., B , vol.39 , pp. 1-39
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 7
    • 0031268341 scopus 로고    scopus 로고
    • Factorial hidden Markov models
    • Z. Ghahramani and M. 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
  • 8
    • 0013420742 scopus 로고
    • Technical report, Dept. of Computer Science, University of Calgary, Alberta
    • S. Greenberg. Using Unix: collected traces of 168 users. Technical report, Dept. of Computer Science, University of Calgary, Alberta, 1988.
    • (1988) Using Unix: Collected Traces of 168 Users
    • Greenberg, S.1
  • 10
    • 0023312404 scopus 로고
    • Estimation of probabilities from sparse data for hte language model component of a speech recognizer
    • S. M. Katz. Estimation of probabilities from sparse data for hte language model component of a speech recognizer. IEEE Transactions on Acoustics, Speech, and Signal Processing (ASSP), 35:400-401, 1987.
    • (1987) IEEE Transactions on Acoustics, Speech, and Signal Processing (ASSP) , vol.35 , pp. 400-401
    • Katz, S.M.1
  • 15
    • 0002979739 scopus 로고    scopus 로고
    • Hidden markov models for human/ computer interface modeling
    • Stockholm, Sweden, July
    • T. Lane. Hidden Markov Models for Human/ Computer Interface Modeling. In Proceedings of the IJCAI-99 Workshop on Learning about Users, pages 35-44, Stockholm, Sweden, July 1999.
    • (1999) Proceedings of the IJCAI-99 Workshop on Learning about Users , pp. 35-44
    • Lane, T.1
  • 17
    • 0028429573 scopus 로고
    • Inductive logic programming: Theory and methods
    • S. Muggleton and L. De Raedt. Inductive logic programming: Theory and methods. Journal of Logic Programming, 19(20):629-679, 1994.
    • (1994) Journal of Logic Programming , vol.19 , Issue.20 , pp. 629-679
    • Muggleton, S.1    De Raedt, L.2
  • 19
    • 0030715097 scopus 로고    scopus 로고
    • HMM topology design using maximum likelihood successive state splitting
    • M. Ostendorf and H. Singer. HMM topology design using maximum likelihood successive state splitting. Computer Speech and Language, 11(1):17-41, 1997. (Pubitemid 127375892)
    • (1997) Computer Speech and Language , vol.11 , Issue.1 , pp. 17-41
    • Ostendorf, M.1    Singer, H.2
  • 21
    • 0022594196 scopus 로고
    • An introduction to hidden Markov models
    • January
    • L. R. Rabiner and B. H. Juang. An introduction to hidden Markov models. IEEE ASSP Magazine, pages 4-15, January 1986.
    • (1986) IEEE ASSP Magazine , pp. 4-15
    • Rabiner, L.R.1    Juang, B.H.2
  • 22
    • 0002297358 scopus 로고
    • Hiddenmarkov model induction by bayesian model merging
    • S. J. Hanson, J. D. Cowan, and C. L. Giles, editors
    • A. Stolcke and S. Omohundro. HiddenMarkov model induction by Bayesian model merging. In S. J. Hanson, J. D. Cowan, and C. L. Giles, editors, Adv. in Neural Information Processing Systems, volume 5, pages 11-18, 1993.
    • (1993) Adv. in Neural Information Processing Systems , vol.5 , pp. 11-18
    • Stolcke, A.1    Omohundro, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.