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Volumn , Issue , 1999, Pages 396-402

Approximate learning of dynamic models

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; BAYESIAN NETWORKS; ERROR ANALYSIS; RANDOM PROCESSES;

EID: 84878986189     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (13)
  • 1
    • 21844505373 scopus 로고
    • A note on the coefficient of ergodicity of a column-allowable nonnegative matrix
    • M. Artzrouni and X. Li. A note on the coefficient of ergodicity of a column-allowable nonnegative matrix. Linear algebra and applications, 214:93-101, 1995.
    • (1995) Linear Algebra and Applications , vol.214 , pp. 93-101
    • Artzrouni, M.1    Li, X.2
  • 2
    • 0002436850 scopus 로고    scopus 로고
    • Tractable inference for complex stochastic processes
    • X. Boyen and D. Koller. Tractable inference for complex stochastic processes. In Proc. UAI, pages 33-42, 1998.
    • (1998) Proc. UAI , pp. 33-42
    • Boyen, X.1    Koller, D.2
  • 4
    • 84990553353 scopus 로고
    • A model for reasoning about persistence and causation
    • T. Dean and K. Kanazawa. A model for reasoning about persistence and causation. Comp. Int., 5(3), 1989.
    • (1989) Comp. Int. , vol.5 , Issue.3
    • Dean, T.1    Kanazawa, K.2
  • 7
    • 0000854197 scopus 로고    scopus 로고
    • Learning the structure of dynamic probabilistic networks
    • N. Friedman, K. Murphy, and S.J. Russell. Learning the structure of dynamic probabilistic networks. In Proc. UAI, pages 139-147, 1998.
    • (1998) Proc. UAI , pp. 139-147
    • Friedman, N.1    Murphy, K.2    Russell, S.J.3
  • 8
    • 0012708744 scopus 로고    scopus 로고
    • Factorial hidden Markov models
    • Z. Ghahramani and M.I. Jordan. Factorial hidden Markov models. In NIPS 8, 1996.
    • (1996) NIPS , vol.8
    • Ghahramani, Z.1    Jordan, M.I.2
  • 9
    • 85024429815 scopus 로고
    • A new approach to linear filtering and prediction problems
    • R.E. Kalman. A new approach to linear filtering and prediction problems. J. of Basic Engineering, 82:34-45, 1960.
    • (1960) J. of Basic Engineering , vol.82 , pp. 34-45
    • Kalman, R.E.1
  • 10
    • 0001006209 scopus 로고
    • Local computations with probabilities on graphical structures and their application to expert systems
    • S.L. Lauritzen and D.J. Spiegelhalter. Local computations with probabilities on graphical structures and their application to expert systems. J. Roy. Stat. Soc, B 50, 1988.
    • (1988) J. Roy. Stat. Soc , vol.B 50
    • Lauritzen, S.L.1    Spiegelhalter, D.J.2
  • 11
    • 0002788893 scopus 로고    scopus 로고
    • A view of the EM algorithm that justifies incremental, sparse, and other variants
    • M.I. Jordan, editor Kluwer
    • R.M. Neal and G.E. Hinton. A view of the EM algorithm that justifies incremental, sparse, and other variants. In M.I. Jordan, editor, Learning in Graphical Models. Kluwer, 1998.
    • (1998) Learning in Graphical Models
    • Neal, R.M.1    Hinton, G.E.2
  • 13
    • 0031624532 scopus 로고    scopus 로고
    • Speech recognition with dynamic Bayesian networks
    • G. Zweig and S.J. Russell. Speech recognition with dynamic bayesian networks. In Proc. AAAI, pages 173-180, 1998.
    • (1998) Proc. AAAI , pp. 173-180
    • Zweig, G.1    Russell, S.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.