메뉴 건너뛰기




Volumn , Issue , 1999, Pages 494-500

Maximum conditional likelihood via bound maximization and the CEM Algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL ELECTROMAGNETICS; MAXIMUM PRINCIPLE;

EID: 84898995489     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (33)

References (7)
  • 1
    • 0029587111 scopus 로고
    • Information geometry of em and em algorithms for neural networks
    • S. Amari. Information geometry of em and em algorithms for neural networks. Neural Networks, 8(9), 1995.
    • (1995) Neural Networks , vol.8 , Issue.9
    • Amari, S.1
  • 4
    • 0000262562 scopus 로고
    • Hierarchical mixtures of experts and the em algorithm
    • M. Jordan and R. Jacobs. Hierarchical mixtures of experts and the em algorithm. Neural Computation, 6:181-214, 1994.
    • (1994) Neural Computation , vol.6 , pp. 181-214
    • Jordan, M.1    Jacobs, R.2
  • 5
    • 0000251971 scopus 로고
    • Maximum likelihood estimation via the ecm algorithm: A general framework
    • X. Meng and D. Rubin. Maximum likelihood estimation via the ecm algorithm: A general framework. Biometrika, 80(2), 1993.
    • (1993) Biometrika , vol.80 , Issue.2
    • Meng, X.1    Rubin, D.2
  • 6
    • 0003793887 scopus 로고    scopus 로고
    • (phd. thesis). Technical Report 461, M.I.T. Media Laboratory
    • A. Popat. Conjoint probabilistic subband modeling (phd. thesis). Technical Report 461, M.I.T. Media Laboratory, 1997.
    • (1997) Conjoint Probabilistic Subband Modeling
    • Popat, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.