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Volumn , Issue , 1995, Pages 3-9

Learning the structure of similarity

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL DATA; CLUSTERING MODEL; COMMON FEATURES; CONCEPTUAL SIMPLICITY; DATA SET; SOLUTION QUALITY;

EID: 85156220434     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (30)

References (14)
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    • Maximum likelihood estimation from incomplete data via the EM Algorithm (with discussion)
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  • 4
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    • Factorial learning and the EM algorithm
    • G. Tesauro, D. S. Touretzky, & T. K. Leen (eds), Cambridge, MA: MIT Press
    • Ghahramani, Z. (1995). Factorial learning and the EM algorithm. In G. Tesauro, D. S. Touretzky, & T. K. Leen (eds.), Advances in Neurai Information Processing Systems 7. Cambridge, MA: MIT Press, 617-624.
    • (1995) Advances in Neurai Information Processing Systems , vol.7 , pp. 617-624
    • Ghahramani, Z.1
  • 5
    • 0029652445 scopus 로고
    • The "wake-sleep" algorithm for unsupervised neural networks
    • Hinton, G. E., Dayan, P., Frey, B. J., & Neal, R. M. (1995) The "wake-sleep" algorithm for unsupervised neural networks. Science 268, 1158-1161.
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    • Hinton, G. E.1    Dayan, P.2    Frey, B. J.3    Neal, R. M.4
  • 6
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    • An analysis of perceptual confusions among some English consonants
    • Miller, G. A. & Nicely, P. E. (1955). An analysis of perceptual confusions among some English consonants. J. Ac. Soc. Am. 27, 338-352.
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    • Miller, G. A.1    Nicely, P. E.2
  • 7
    • 44049116681 scopus 로고
    • Connectionist learning of belief networks
    • Neal, R. M. (1992). Connectionist learning of belief networks. Artif. Intell. 56, 71-113.
    • (1992) Artif. Intell , vol.56 , pp. 71-113
    • Neal, R. M.1
  • 9
    • 0000389568 scopus 로고
    • Statistical mechanics and phase transitions in clustering
    • Rose, K., Gurewitz, F., & Fox, G. (1990). Statistical mechanics and phase transitions in clustering. Physical Review Letters 65, 945-948.
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  • 10
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  • 11
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    • Additive clustering: Representation of similarities as combinations of discrete overlapping properties
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    • Shepard, R. N1    Arabie, P.2
  • 13
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  • 14
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    • Features of similarity
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.