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Volumn , Issue , 2005, Pages 4858-4863

Learning Gaussian mixture models by structural risk minimization

Author keywords

Gaussian Mixture Models; Structural Risk Minimization; VC dimension

Indexed keywords

LEARNING SYSTEMS; MATHEMATICAL MODELS; SPEECH RECOGNITION;

EID: 28444443032     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (9)
  • 2
    • 0018015137 scopus 로고
    • Modeling by shortest data description
    • J. Rissanen, "Modeling by Shortest Data Description," Automatica, Vol. 14, pp. 465-471, 1978.
    • (1978) Automatica , vol.14 , pp. 465-471
    • Rissanen, J.1
  • 3
    • 0000107517 scopus 로고
    • An information measure for classification
    • C.S. Wallace and D.M. Boulton, "An Information measure for Classification," Computer Journal, Vol. 11pp. 185-194, 1968.
    • (1968) Computer Journal , vol.11 , pp. 185-194
    • Wallace, C.S.1    Boulton, D.M.2
  • 4
    • 0000120766 scopus 로고
    • Estimating dimensions of model
    • G. Schwarz, "Estimating Dimensions of Model," Ann. Stat., Vol. 6, pp 461-464, 1978.
    • (1978) Ann. Stat. , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 9
    • 0022712081 scopus 로고
    • A segmental K-means training procedure for connected word recognition
    • May
    • L. Rabiner, J. Wilpon, and B.H. Juang, "A Segmental K-Means Training Procedure for Connected Word Recognition," AT&T Tech. J., Vol. 64, no3, pp. 21-40, May 1986.
    • (1986) AT&T Tech. J. , vol.64 , Issue.3 , pp. 21-40
    • Rabiner, L.1    Wilpon, J.2    Juang, B.H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.