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Volumn 2, Issue , 2005, Pages 1554-1560

Automatically balancing accuracy and comprehensibility in predictive modeling

Author keywords

Accuracy; Committee machines; Comprehensibility; Data mining; Rule extraction

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA STRUCTURES; MATHEMATICAL MODELS; NEURAL NETWORKS;

EID: 33847128033     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2005.1592040     Document Type: Conference Paper
Times cited : (13)

References (17)
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    • Davis, R.1    Buchanan, B.G.2    Shortliffe, E.3
  • 3
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    • A survey and critique of techniques for extracting rules from trained artificial neural networks
    • R. Andrews, J. Diederich and A. B. Tickle, A survey and critique of techniques for extracting rules from trained artificial neural networks, Knowledge-Based Systems, 8(6), 1995.
    • (1995) Knowledge-Based Systems , vol.8 , Issue.6
    • Andrews, R.1    Diederich, J.2    Tickle, A.B.3
  • 5
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    • The extraction of refined rules from knowledge based neural networks
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    • Towell, G.1    Shavlik, J.2
  • 14
    • 0000621802 scopus 로고    scopus 로고
    • Multivariate functional interpolation and adaptive networks
    • D. S. Broomhead and D. Löwe, Multivariate functional interpolation and adaptive networks, Complex Systems, 2:321-355, 1998.
    • (1998) Complex Systems , vol.2 , pp. 321-355
    • Broomhead, D.S.1    Löwe, D.2
  • 15
    • 0025206332 scopus 로고
    • Probabilistic Neural Networks
    • D. F. Speckt, Probabilistic Neural Networks. Neural Networks, 3(1):109-118, 1990.
    • (1990) Neural Networks , vol.3 , Issue.1 , pp. 109-118
    • Speckt, D.F.1
  • 16
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    • University of California, Department of Information and Computer Science
    • C. L. Blake and C. J. Merz, UCI Repository of machine learning databases. University of California, Department of Information and Computer Science, 1998, [http://www.ics.uci.edu/~mleam/MLRepository.html].
    • (1998) UCI Repository of machine learning databases
    • Blake, C.L.1    Merz, C.J.2
  • 17
    • 0034274591 scopus 로고    scopus 로고
    • A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-three Old and New Classification Algorithms
    • T.-S. Lim, W.-Y. Loh and Y.-S. Shih, A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-three Old and New Classification Algorithms, Machine Learning, 40:203-229, 2000.
    • (2000) Machine Learning , vol.40 , pp. 203-229
    • Lim, T.-S.1    Loh, W.-Y.2    Shih, Y.-S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.