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Volumn , Issue , 2006, Pages 82-86

A comparison of two contributive analysis methods applied to an ANN modeling facial attractiveness

Author keywords

[No Author keywords available]

Indexed keywords

CONTRIBUTIVE ANALYSIS METHODS; EXPLANATORY POWER;

EID: 34547378771     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SERA.2006.2     Document Type: Conference Paper
Times cited : (9)

References (15)
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    • Gevrey, M.1    Dimopoulos, I.2    Lek, S.3
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    • 0001867238 scopus 로고
    • Interpreting Neural-Network Connection Weights
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    • (1991) Artificial Intelligence Expert , vol.6 , pp. 47-51
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  • 7
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    • Illuminating the 'Black Box': A Randomization Approach for Understanding Variable Contributions in Artificial Neural Networks
    • J. D. Olden and D. A. Jackson, "Illuminating the 'Black Box': A Randomization Approach for Understanding Variable Contributions in Artificial Neural Networks", Ecological Modelling, vol. 154, 2002, pp. 135-150.
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  • 10
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    • Wang, W.1    Jones, P.2    Partridge, D.3
  • 12
    • 3242721368 scopus 로고    scopus 로고
    • An Accurate Comparison of Methods for Quantifying Variable Importance in Artificial Neural Networks Using Simulated Data
    • J. D. Olden, M. K. Joy, and R. G. Death, "An Accurate Comparison of Methods for Quantifying Variable Importance in Artificial Neural Networks Using Simulated Data", Ecological Modelling, vol. 178, 2004, pp. 389-397.
    • (2004) Ecological Modelling , vol.178 , pp. 389-397
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  • 13
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    • Brain Asymmetry and Facial Attractiveness: Facial Beauty is Not Simply in the Eye of the Beholder
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  • 14
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  • 15
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    • An Artificial Neural Network Model of Facial Attractiveness
    • submitted for publication
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.