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Volumn , Issue , 2005, Pages

Newscast EM

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC NETWORK TOPOLOGY;

EID: 84898966501     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (53)

References (12)
  • 4
    • 33746360402 scopus 로고    scopus 로고
    • Distributed optimization in adaptive networks
    • S. Thrun, L. Saul, and B. Scholkopf, editors, MIT Press, Cambridge, MA
    • C. C. Moallemi and B. Van Roy. Distributed optimization in adaptive networks. In S. Thrun, L. Saul, and B. Scholkopf, editors, Advances in Neural Information Processing Systems 16. MIT Press, Cambridge, MA, 2004.
    • (2004) Advances in Neural Information Processing Systems , vol.16
    • Moallemi, C.C.1    Van Roy, B.2
  • 5
    • 4544320214 scopus 로고    scopus 로고
    • A decentralized algorithm for spectral analysis
    • Chicago, IL, June
    • D. Kempe and F. McSherry. A decentralized algorithm for spectral analysis. In Proc. 36th ACM Symp. on Theory of Computing, Chicago, IL, June 2004.
    • (2004) th ACM Symp. on Theory of Computing
    • Kempe, D.1    McSherry, F.2
  • 6
    • 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. Roy. Statist. Soc. B, 39:1-38, 1977.
    • (1977) J. Roy. Statist. Soc. B , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 7
    • 17444400440 scopus 로고    scopus 로고
    • Distributed data clustering can be efficient and exact
    • G. Forman and B. Zhang. Distributed data clustering can be efficient and exact. ACM SIGKDD Explorations, 2(2):34-38, 2000.
    • (2000) ACM SIGKDD Explorations , vol.2 , Issue.2 , pp. 34-38
    • Forman, G.1    Zhang, B.2
  • 8
    • 0042164384 scopus 로고    scopus 로고
    • Distributed EM algorithms for density estimation and clustering in sensor networks
    • August
    • R. D. Nowak. Distributed EM algorithms for density estimation and clustering in sensor networks. IEEE Trans. on Signal Processing, 51(8):2245-2253, August 2003.
    • (2003) IEEE Trans. on Signal Processing , vol.51 , Issue.8 , pp. 2245-2253
    • Nowak, R.D.1
  • 9
    • 0002788893 scopus 로고    scopus 로고
    • A view of the EM algorithm that justifies incremental, sparse, and other variants
    • M. I. Jordan, editor, Kluwer Academic Publishers
    • 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, pages 355-368. Kluwer Academic Publishers, 1998.
    • (1998) Learning in Graphical Models , pp. 355-368
    • Neal, R.M.1    Hinton, G.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.