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Volumn 13, Issue 7, 2001, Pages 1603-1623

A comparative study of feature-salience ranking techniques

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT ACCIDENT; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; DECISION TREE; HUMAN; MEDICAL RECORD; METHODOLOGY; OSTEOPOROSIS; PREDICTION AND FORECASTING; QUESTIONNAIRE; RANDOMIZATION; REPRODUCIBILITY; RISK FACTOR; STATISTICAL ANALYSIS; VALIDATION STUDY;

EID: 0035406897     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976601750265027     Document Type: Article
Times cited : (32)

References (13)
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    • (1998) The Handbook of Mind Theory and Neural Metworks , pp. 144-149
    • MacKay, D.1
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    • A practical Bayesian framework for backpropagation networks
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    • MacKay, D.1
  • 6
    • 0030111129 scopus 로고    scopus 로고
    • Network generalization differences quantified
    • Partridge, D. (1996). Network generalization differences quantified. Neural Networks, 9, 263-271.
    • (1996) Neural Networks , vol.9 , pp. 263-271
    • Partridge, D.1
  • 7
    • 0030585190 scopus 로고    scopus 로고
    • Engineering multiversion neural-net systems
    • Partridge, D., & Yates, W. (1996). Engineering multiversion neural-net systems. Neural Computation, 4, 869-893.
    • (1996) Neural Computation , vol.4 , pp. 869-893
    • Partridge, D.1    Yates, W.2
  • 8
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan, J. P. (1986). Induction of decision trees. Machine Learning, 1, 81-106.
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.P.1
  • 11
    • 0012898666 scopus 로고
    • Selecting neural network architecture via the prediction risk: Application to corporate bond rating prediction
    • D. S. Touretzky (Ed.), Los Altamitos, CA: IEEE Computer Society Press
    • Utans, J., & Moody, J. (1991). Selecting neural network architecture via the prediction risk: Application to corporate bond rating prediction. In D. S. Touretzky (Ed.), Proc. 1st Int. Conference on Artificial Intelligence Applications on Wall Street. Los Altamitos, CA: IEEE Computer Society Press.
    • (1991) Proc. 1st Int. Conference on Artificial Intelligence Applications on Wall Street
    • Utans, J.1    Moody, J.2
  • 12
    • 0001656099 scopus 로고    scopus 로고
    • Ranking pattern recognition features for neural networks
    • S. Singh (Ed.), New York: Springer-Verlag
    • Wang, W., Jones, P., & Partridge, D. (1998). Ranking pattern recognition features for neural networks. In S. Singh (Ed.), Advances in pattern recognition (pp. 232-241). New York: Springer-Verlag.
    • (1998) Advances in Pattern Recognition , pp. 232-241
    • Wang, W.1    Jones, P.2    Partridge, D.3
  • 13
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    • Assessing the impact of input features in a feedforward network
    • Wang, W., Jones, P., & Partridge, D. (2000). Assessing the impact of input features in a feedforward network. Neural Computing and Applications, 9, 101-112.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.