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Volumn 6354 LNCS, Issue PART 3, 2010, Pages 321-326

Theoretical analysis of cross-validation(CV)-EM algorithm

Author keywords

[No Author keywords available]

Indexed keywords

CROSS VALIDATION; CROSS-VALIDATION TECHNIQUE; EM ALGORITHMS; EXPECTATION-MAXIMIZATION ALGORITHMS; HIDDEN VARIABLE; NUMERICAL EXPERIMENTS; OVERFITTING;

EID: 78049357306     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15825-4_42     Document Type: Conference Paper
Times cited : (2)

References (8)
  • 2
    • 0346444432 scopus 로고    scopus 로고
    • Acceleration of the EM algorithm
    • Ikeda, S.: Acceleration of the EM algorithm. Systems and Computers in Japan 31(2), 10-18 (2000)
    • (2000) Systems and Computers in Japan , vol.31 , Issue.2 , pp. 10-18
    • Ikeda, S.1
  • 4
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike, H.: A new look at the statistical model identification. IEEE Transactions on Automatic Control 19(6), 716-723 (1974)
    • (1974) IEEE Transactions on Automatic Control , vol.19 , Issue.6 , pp. 716-723
    • Akaike, H.1
  • 5
    • 84898964031 scopus 로고    scopus 로고
    • A variational bayesian framework for graphical models
    • Attias, H.: A variational Bayesian framework for graphical models. Advances in Neural Information Processing Systems 12 (1-2), 209-215 (2000)
    • (2000) Advances in Neural Information Processing Systems , vol.12 , Issue.1-2 , pp. 209-215
    • Attias, H.1
  • 6
    • 35549000218 scopus 로고    scopus 로고
    • Cross-validation and aggregated EM training for robust parameter estimation
    • Shinozaki, T., Ostendorf, M.: Cross-validation and aggregated EM training for robust parameter estimation. Computer Speech & Language 22(2), 185-195 (2008)
    • (2008) Computer Speech & Language , vol.22 , Issue.2 , pp. 185-195
    • Shinozaki, T.1    Ostendorf, M.2
  • 8
    • 51449090592 scopus 로고    scopus 로고
    • GMM and HMM training by aggregated EM algorithm with increased ensemble sizes for robust parameter estimation
    • Shinozaki, T., Kawahara, T.: GMM and HMM training by aggregated EM algorithm with increased ensemble sizes for robust parameter estimation. In: Proc. ICASSP, Citeseer, pp. 4405-4408 (2008)
    • (2008) Proc. ICASSP, Citeseer , pp. 4405-4408
    • Shinozaki, T.1    Kawahara, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.