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Volumn , Issue , 2005, Pages 1325-1328

Generalized hebbian algorithm for incremental latent semantic analysis

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTER PROGRAMMING LANGUAGES; DATABASE SYSTEMS; EIGENVALUES AND EIGENFUNCTIONS; INFORMATION ANALYSIS; LEARNING ALGORITHMS;

EID: 33745200521     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (7)
  • 2
    • 0000274403 scopus 로고    scopus 로고
    • Exploiting latent semantic information in statistical language modeling
    • J. Bellegarda, "Exploiting latent semantic information in statistical language modeling," Proceedings of the IEEE, vol. 88:8, 2000.
    • (2000) Proceedings of the IEEE , vol.88 , Issue.8
    • Bellegarda, J.1
  • 4
    • 0024883243 scopus 로고
    • Optimal unsupervised learning in a single-layer linear feedforward neural network
    • T. D. Sanger, "Optimal unsupervised learning in a single-layer linear feedforward neural network," Neural Networks, vol. 2, pp. 459-473, 1989.
    • (1989) Neural Networks , vol.2 , pp. 459-473
    • Sanger, T.D.1
  • 5
    • 0022013023 scopus 로고
    • On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix
    • E. Oja and J. Karhunen, "On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix," J. Math. Analysis and Application, vol. 106, pp. 69-84, 1985.
    • (1985) J. Math. Analysis and Application , vol.106 , pp. 69-84
    • Oja, E.1    Karhunen, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.