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Volumn 2417, Issue , 2002, Pages 434-443

Topic extraction from text documents using multiple-cause networks

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTERING ALGORITHMS; DETERIORATION; LEARNING SYSTEMS;

EID: 84947942003     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45683-x_47     Document Type: Conference Paper
Times cited : (4)

References (11)
  • 2
    • 0001179408 scopus 로고
    • Competition and multiple cause models
    • Dayan, P., Zemel, R.S.: Competition and multiple cause models. Neural Computation 7 (1995) 565-579
    • (1995) Neural Computation , vol.7 , pp. 565-579
    • Dayan, P.1    Zemel, R.S.2
  • 6
    • 0029652445 scopus 로고
    • The wake-sleep algorithm for unsupervised neural networks
    • Hinton, G.E., Dayan, P., Frey, B.J., Neal, R.M.: The wake-sleep algorithm for unsupervised neural networks. Science 268 (1995) 1158–1161.
    • (1995) Science , vol.268 , pp. 1158-1161
    • Hinton, G.E.1    Dayan, P.2    Frey, B.J.3    Neal, R.M.4
  • 8
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee, D.D., Seung, H.S.: Learning the parts of objects by non-negative matrix factorization. Nature 401 (1999) 788-791
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 10
    • 0003040479 scopus 로고
    • A multiple cause mixture model for unsupervised learning
    • Saund, E.: A multiple cause mixture model for unsupervised learning. Neural Computation 7 (1995) 51–71
    • (1995) Neural Computation , vol.7 , pp. 51-71
    • Saund, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.