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Volumn , Issue , 2005, Pages 25-28

Bayesian learning for latent semantic analysis

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); INFORMATION RETRIEVAL; LEARNING ALGORITHMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROBABILISTIC LOGICS; PROBLEM SOLVING; STATISTICAL METHODS; TEXT PROCESSING;

EID: 33745196725     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (12)
  • 1
    • 0000274403 scopus 로고    scopus 로고
    • Exploiting latent semantic information in statistical language modeling
    • J. R. Bellegarda, "Exploiting latent semantic information in statistical language modeling," Proceeding of the IEEE, vol. 88, No. 8, pp. 1279-1296, 2000.
    • (2000) Proceeding of the IEEE , vol.88 , Issue.8 , pp. 1279-1296
    • Bellegarda, J.R.1
  • 2
    • 0029546874 scopus 로고
    • Using linear algebra for intelligent information retrieval
    • M. W. Berry, S. T. Dumais and G. W. O'Brien, "Using linear algebra for intelligent information retrieval", SIAM Review, vol. 37, no. 4, pp. 573-595, 1995.
    • (1995) SIAM Review , vol.37 , Issue.4 , pp. 573-595
    • Berry, M.W.1    Dumais, S.T.2    O'Brien, G.W.3
  • 4
    • 0001365754 scopus 로고    scopus 로고
    • Online hierarchical transformation of hidden Markov models for speech recognition
    • J.-T. Chien, "Online hierarchical transformation of hidden Markov models for speech recognition", IEEE Transactions on Speech and Audio Processing, vol. 7, no. 6, pp. 656-667, 1999.
    • (1999) IEEE Transactions on Speech and Audio Processing , vol.7 , Issue.6 , pp. 656-667
    • Chien, J.-T.1
  • 11
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • T. Hofmann, "Unsupervised learning by probabilistic latent semantic analysis", Machine Learning, vol. 42, no. 1, pp. 177-196, 2001.
    • (2001) Machine Learning , vol.42 , Issue.1 , pp. 177-196
    • Hofmann, T.1
  • 12
    • 0031103160 scopus 로고    scopus 로고
    • On-line adaptive learning of the continuous density hidden Markov model based on approximate recursive Bayes estimate
    • Q. Huo and C.-H. Lee, "On-line adaptive learning of the continuous density hidden Markov model based on approximate recursive Bayes estimate", IEEE Transactions on Speech and Audio Processing, vol. 5, pp. 161-172, 1997.
    • (1997) IEEE Transactions on Speech and Audio Processing , vol.5 , pp. 161-172
    • Huo, Q.1    Lee, C.-H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.