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Volumn 2364, Issue , 2002, Pages 222-231

Bias–variance analysis and ensembles of SVM

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; SUPPORT VECTOR MACHINES;

EID: 84947560298     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45428-4_22     Document Type: Conference Paper
Times cited : (23)

References (16)
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    • Technical Report TR 460, Statistics Department, University of California, Berkeley, CA
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    • (1996) Bias, Variance and Arcing Classifiers
    • Breiman, L.1
  • 3
    • 80053403826 scopus 로고    scopus 로고
    • In J. Kittler and F. Roli (eds.), MCS 2000, Cagliari, Italy
    • [3] T.G. Dietterich. Ensemble methods in machine learning. In J. Kittler and F. Roli (eds.), MCS 2000, Cagliari, Italy, pages 1–15, 2000.
    • (2000) Ensemble Methods in Machine Learning , pp. 1-15
    • Dietterich, T.G.1
  • 4
    • 85158077035 scopus 로고    scopus 로고
    • A Unified Bias-Variance Decomposition for Zero-One and Squared Loss
    • Austin, TX
    • [4] P. Domingos. A Unified Bias-Variance Decomposition for Zero-One and Squared Loss. In Proc. of the 17th National Conference on Artificial Intelligence, pages 564–569, Austin, TX, 2000.
    • (2000) Proc. Of The , pp. 564-569
    • Domingos, P.1
  • 5
    • 0012937288 scopus 로고    scopus 로고
    • A Unified Bias-Variance Decomposition and its Applications
    • Stanford, CA
    • [5] P. Domingos. A Unified Bias-Variance Decomposition and its Applications. In Proc. of the 17th ICML, pages 231–238, Stanford, CA, 2000.
    • (2000) Proc. Of The , pp. 231-238
    • Domingos, P.1
  • 6
    • 21744462998 scopus 로고    scopus 로고
    • On bias, variance, 0/1 loss and the curse of dimensionality
    • [6] J.H. Friedman. On bias, variance, 0/1 loss and the curse of dimensionality. Data Mining and Knowledge Discovery, 1:55–77, 1997.
    • (1997) Data Mining and Knowledge Discovery , vol.1 , pp. 55-77
    • Friedman, J.H.1
  • 7
    • 0001942829 scopus 로고
    • Neural networks and the bias-variance dilemma
    • [7] S. Geman, E. Bienenstock, and R. Doursat. Neural networks and the bias-variance dilemma. Neural Computation, 4(1):1–58, 1992.
    • (1992) Neural Computation , vol.4 , Issue.1 , pp. 1-58
    • Geman, S.1    Bienenstock, E.2    Doursat, R.3
  • 10
    • 0002872346 scopus 로고    scopus 로고
    • Bias plus variance decomposition for zero-one loss functions
    • Bari, Italy
    • [10] R. Kohavi and D.H. Wolpert. Bias plus variance decomposition for zero-one loss functions. In Proc. of the 13th ICML, pages 275–283, Bari, Italy, 1996.
    • (1996) Proc. Of The , pp. 275-283
    • Kohavi, R.1    Wolpert, D.H.2
  • 11
    • 84992322729 scopus 로고
    • Error - correcting output coding correct bias and variance
    • San Francisco, CA
    • [11] E. Kong and T.G. Dietterich. Error - correcting output coding correct bias and variance. In Proc. of the 12th ICML, pages 313–321, San Francisco, CA, 1995.
    • (1995) Proc. Of The , pp. 313-321
    • Kong, E.1    Dietterich, T.G.2
  • 15
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    • NEURObjects: An object-oriented library for neural network development
    • (in press)
    • [15] G. Valentini and F. Masulli. NEURObjects: an object-oriented library for neural network development. Neurocomputing. (in press).
    • Neurocomputing
    • Valentini, G.1    Masulli, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.