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Volumn 5, Issue , 2004, Pages

Filtering in hybrid dynamic Bayesian networks

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; GAUSSIAN NOISE (ELECTRONIC); KALMAN FILTERING; MONTE CARLO METHODS; REAL TIME SYSTEMS; SIGNAL INTERFERENCE; TELECOMMUNICATION TRAFFIC;

EID: 4544241509     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (7)
  • 1
    • 4544274234 scopus 로고    scopus 로고
    • [Andersen & Andersen, 2003] Master thesis, IMM, Techinical University of Denmark
    • [Andersen & Andersen, 2003] M.N. Andersen and R.Ø. Andersen. Filtering in Hybrid Dynamic Bayesian Networks Master thesis, IMM, Techinical University of Denmark, 2003. http://www.imm.dtu.dk/mna/public.php
    • (2003) Filtering in Hybrid Dynamic Bayesian Networks
    • Andersen, M.N.1    Andersen, R.Ø.2
  • 2
    • 0003838908 scopus 로고    scopus 로고
    • On sequential Monte Carlo sampling methods for Bayesian filtering
    • [Doucet et al., 1998], Dept. of Eng., Cambridge University
    • [Doucet et al., 1998] A. Doucet, S. Godsill and C. Andrieu. On Sequential Monte Carlo Sampling Methods for Bayesian Filtering. Technical report CUED/F-INFENG/TR 310, Dept. of Eng., Cambridge University, 1998.
    • (1998) Technical Report , vol.CUED-F-INFENG-TR 310
    • Doucet, A.1    Godsill, S.2    Andrieu, C.3
  • 4
    • 4544347076 scopus 로고    scopus 로고
    • Sampling in factored dynamic systems
    • [Koller & Lerner, 2000], Springer-Verlag, New York
    • [Koller & Lerner, 2000] D. Koller and U. Lerner. Sampling in Factored Dynamic Systems. In Sequential Monte Carlo Methods in Practice: pages 445-464, Springer-Verlag, New York, 2000.
    • (2000) Sequential Monte Carlo Methods in Practice , pp. 445-464
    • Koller, D.1    Lerner, U.2
  • 5
    • 21244450224 scopus 로고    scopus 로고
    • Real-time monitoring of complex industrial processes with particle filters
    • [Morales-Menendez et al., 2002]
    • [Morales-Menendez et al., 2002] R. Morales-Menendez, N. de Freitas and D. Poole. Real-Time Monitoring of Complex Industrial Processes with Particle Filters. NIPS 2002.
    • NIPS 2002
    • Morales-Menendez, R.1    De Freitas, N.2    Poole, D.3
  • 6
    • 0003244404 scopus 로고    scopus 로고
    • Rao-blackwellised particle filtering for dynamic Bayesian networks
    • [Murphy & Russell, 2001]. A. Doucet, N. de Freitas and N.J. Gordon, editors, Springer-Verlag, New York
    • [Murphy & Russell, 2001] K. Murphy and S. Russell. A. Doucet, N. de Freitas and N.J. Gordon, editors. Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. In Sequential Monte Carlo Methods in Practice, Springer-Verlag, New York, 2001.
    • (2001) Sequential Monte Carlo Methods in Practice
    • Murphy, K.1    Russell, S.2
  • 7
    • 0004286947 scopus 로고    scopus 로고
    • The unscented particle filter
    • [v.d. Merwe et al., 2000], Dept. of Eng., Cambridge University
    • [v.d. Merwe et al., 2000] R. v.d. Merwe, A. Doucet, N. de Freitas and E. Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR-380, Dept. of Eng., Cambridge University, 2000.
    • (2000) Technical Report , vol.CUED-F-INFENG-TR-380
    • Merwe, R.V.D.1    Doucet, A.2    De Freitas, N.3    Wan, E.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.