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Volumn , Issue , 1997, Pages 522-528

ARC-LH: A new adaptive resampling algorithm for improving ANN classifiers

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE RESAMPLING; AGGREGATED NETWORKS; ANN CLASSIFIERS; BENCH-MARK PROBLEMS; OUTPUT ERRORS; RESAMPLES;

EID: 0346096131     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (16)
  • 1
    • 0003495934 scopus 로고
    • Tech. Rep. 421, Department of Statistics, University of California, Berkeley, California, USA
    • Breiman, L. (1994). Bagging predictors. Tech. Rep. 421, Department of Statistics, University of California, Berkeley, California, USA.
    • (1994) Bagging Predictors
    • Breiman, L.1
  • 2
    • 0003619255 scopus 로고    scopus 로고
    • Tech. Rep. 460, Statistics Department, University of California, Berkeley, CA, USA
    • Breiman, L. (1996a). Bias, variance, and arcing classifiers. Tech. Rep. 460, Statistics Department, University of California, Berkeley, CA, USA.
    • (1996) Bias, Variance, and Arcing Classifiers
    • Breiman, L.1
  • 3
    • 0030196364 scopus 로고    scopus 로고
    • Stacked regressions
    • Breiman, L. (1996b). Stacked regressions. Machine Learning, 24, 49.
    • (1996) Machine Learning , vol.24 , pp. 49
    • Breiman, L.1
  • 4
    • 0000272915 scopus 로고    scopus 로고
    • Boosting decision trees
    • Touretzky, S., Mozer, M. C, & Hasselmo, M. E. (eds.) MIT Press
    • Drucker, H. & Cortes, C. (1996). Boosting decision trees. In Touretzky, S., Mozer, M. C, & Hasselmo, M. E. (eds.), Advances in Neural Information Processing Systems, vol. 8. MIT Press.
    • (1996) Advances in Neural Information Processing Systems , vol.8
    • Drucker, H.1    Cortes, C.2
  • 7
    • 0026191131 scopus 로고
    • Bayes statistical behavior and valid generalization of pattern classifying neural networks
    • Kanaya, F. &Miyake, S. (1991). Bayes statistical behavior and valid generalization of pattern classifying neural networks. IEEE Transactions on Neural Networks, 2(4), 471-475.
    • (1991) IEEE Transactions on Neural Networks , vol.2 , Issue.4 , pp. 471-475
    • Kanaya, F.1    Miyake, S.2
  • 9
    • 0001334793 scopus 로고
    • Kernel regression and backpropagation training with noise
    • Moody, J. E., Hanson, S. J., & Lippmann, R. P. (eds.) Morgan Kaufmann Publishers, Inc
    • Koistinen, P. &Holmström, L. (1992). Kernel regression and backpropagation training with noise. In Moody, J. E., Hanson, S. J., & Lippmann, R. P. (eds.), Advances in Neural Information Processing Systems, vol. 4, pp. 1033-1039. Morgan Kaufmann Publishers, Inc.
    • (1992) Advances in Neural Information Processing Systems , vol.4 , pp. 1033-1039
    • Koistinen, P.1    Holmström, L.2
  • 11
  • 12
    • 84898981558 scopus 로고
    • NN classifiers: Reducing the computational cost of cross-validation by active pattern selection
    • Los Alamitos, CA, USA: IEEE Computer Society Press
    • Leisch, F., Jain, L. C, & Hornik, K. (1995). NN classifiers: Reducing the computational cost of cross-validation by active pattern selection. In Artificial Neural Networks and Expert Systems, vol. 2. Los Alamitos, CA, USA: IEEE Computer Society Press.
    • (1995) Artificial Neural Networks and Expert Systems , vol.2
    • Leisch, F.1    Jain, L.C.2    Hornik, K.3
  • 16
    • 0001572432 scopus 로고    scopus 로고
    • A comparison of some error estimates for neural network models
    • Tibshirani, R. (1996b). A comparison of some error estimates for neural network models. Neural Computation, 8(1), 152-163.
    • (1996) Neural Computation , vol.8 , Issue.1 , pp. 152-163
    • Tibshirani, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.