메뉴 건너뛰기




Volumn 8, Issue 3-4, 1996, Pages 337-354

Actively Searching for an Effective Neural Network Ensemble

Author keywords

Bagging algorithm; Genetic algorithms; KBANN algorithm; Knowledge based neural networks; REGENT algorithm

Indexed keywords


EID: 0030356238     PISSN: 09540091     EISSN: None     Source Type: Journal    
DOI: 10.1080/095400996116802     Document Type: Article
Times cited : (263)

References (37)
  • 3
    • 0001526276 scopus 로고
    • Improving the accuracy of an artificial neural network using multiple differently trained networks
    • Baxt, W. (1992) Improving the accuracy of an artificial neural network using multiple differently trained networks. Neural Computation, 4, 772-780.
    • (1992) Neural Computation , vol.4 , pp. 772-780
    • Baxt, W.1
  • 4
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L. (1996a) Bagging predictors. Machine Learning, 24, 123-140.
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 5
    • 0030196364 scopus 로고    scopus 로고
    • Stacked regressions
    • Breiman, L. (1996b) Stacked regressions. Machine Learning, 24, 49-64.
    • (1996) Machine Learning , vol.24 , pp. 49-64
    • Breiman, L.1
  • 7
    • 45249128876 scopus 로고
    • Combining forecasts: A review and annotated bibliography
    • Clemen, R. (1989) Combining forecasts: a review and annotated bibliography. International Journal of Forecasting, 5, 559-583.
    • (1989) International Journal of Forecasting , vol.5 , pp. 559-583
    • Clemen, R.1
  • 8
    • 0000272915 scopus 로고    scopus 로고
    • Boosting decision trees
    • D. Touretsky, M. Mozer & M. Hasselmo (Eds), Cambridge, MA: MIT Press
    • Drucker, H. & Cortes, C. (1996) Boosting decision trees. In D. Touretsky, M. Mozer & M. Hasselmo (Eds), Advances in Neural Information Processing Systems, Vol. 8. Cambridge, MA: MIT Press.
    • (1996) Advances in Neural Information Processing Systems , vol.8
    • Drucker, H.1    Cortes, C.2
  • 9
    • 0002552358 scopus 로고
    • Improving performance in neural networks using a boosting algorithm
    • J. Hanson, J. Cowan & C. Giles (Eds), Palo Alto, CA: Morgan Kaufmann
    • Drucker, H., Schapire, R. & Simard, P. (1992) Improving performance in neural networks using a boosting algorithm. In J. Hanson, J. Cowan & C. Giles (Eds), Advances in Neural Information Processing Systems, Vol. 5. Palo Alto, CA: Morgan Kaufmann, pp. 42-49.
    • (1992) Advances in Neural Information Processing Systems , vol.5 , pp. 42-49
    • Drucker, H.1    Schapire, R.2    Simard, P.3
  • 14
    • 84984516669 scopus 로고
    • Combining forecasts: Twenty years later
    • Granger, C. (1989) Combining forecasts: twenty years later. Journal of Forecasting, 8, 167-173.
    • (1989) Journal of Forecasting , vol.8 , pp. 167-173
    • Granger, C.1
  • 22
    • 0000749354 scopus 로고
    • Neural network ensembles, cross validation, and active learning
    • G. Tesauro, D. Touretzky & T. Leen (Eds), Cambridge, MA: MIT Press
    • Krogh, A. & Vedelsby, J. (1995) Neural network ensembles, cross validation, and active learning. In G. Tesauro, D. Touretzky & T. Leen (Eds), Advances in Neural Information Processing Systems, Vol. 7. Cambridge, MA: MIT Press.
    • (1995) Advances in Neural Information Processing Systems , vol.7
    • Krogh, A.1    Vedelsby, J.2
  • 23
    • 0000494468 scopus 로고
    • Synergy of clustering multiple back propagation networks
    • D. Touretzky (Ed.), San Mateo, CA: Morgan Kaufmann
    • Lincoln, W. & Skrzypek, J. (1989) Synergy of clustering multiple back propagation networks. In D. Touretzky (Ed.), Advances in Neural Information Processing Systems, Vol. 2. San Mateo, CA: Morgan Kaufmann, pp. 650-659.
    • (1989) Advances in Neural Information Processing Systems , vol.2 , pp. 650-659
    • Lincoln, W.1    Skrzypek, J.2
  • 25
    • 0000447222 scopus 로고
    • Lowering variance of decisions by using artificial neural network portfolios
    • Mani, G. (1991) Lowering variance of decisions by using artificial neural network portfolios. Neural Computation, 3, 484-486.
    • (1991) Neural Computation , vol.3 , pp. 484-486
    • Mani, G.1
  • 26
    • 0040424193 scopus 로고
    • Filter selection model for generating visual motion signals
    • S. Hanson, J. Cowan & C. Giles (Eds) San Mateo, CA: Morgan Kaufmann
    • Nowlan, S. & Sejnowski, T. (1992) Filter selection model for generating visual motion signals. In S. Hanson, J. Cowan & C. Giles (Eds), Advances in Neural Information Processing Systems, Vol. 5. San Mateo, CA: Morgan Kaufmann, pp. 369-376.
    • (1992) Advances in Neural Information Processing Systems , vol.5 , pp. 369-376
    • Nowlan, S.1    Sejnowski, T.2
  • 29
    • 33747691396 scopus 로고
    • Using genetic search to refine knowledge-based neural networks
    • New Brunswick. San Mateo, CA: Morgan Kaufmann
    • Opitz, D. & Shavlik, J. (1994) Using genetic search to refine knowledge-based neural networks. In Proceedings of the Eleventh International Conference on Machine Learning, New Brunswick. San Mateo, CA: Morgan Kaufmann, pp. 208-216.
    • (1994) Proceedings of the Eleventh International Conference on Machine Learning , pp. 208-216
    • Opitz, D.1    Shavlik, J.2
  • 30
    • 0043217618 scopus 로고
    • A soft-competitive splitting rule for adaptive tree-structured neural networks
    • Baltimore, MD
    • Perrone, M. (1992) A soft-competitive splitting rule for adaptive tree-structured neural networks. In Proceedings of the International Joint Conference on Neural Networks, Baltimore, MD, pp. 689-693.
    • (1992) Proceedings of the International Joint Conference on Neural Networks , pp. 689-693
    • Perrone, M.1
  • 32
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • Shapire, R. (1990) The strength of weak learnability. Machine Learning, 5, 197-227.
    • (1990) Machine Learning , vol.5 , pp. 197-227
    • Shapire, R.1
  • 33
    • 0000524365 scopus 로고    scopus 로고
    • Learning with ensembles: How over-fitting can be useful
    • D. Touretsky, M. Mozer & M. Hasselmo (Eds) Cambridge, MA: MIT Press
    • Sollich, P. & Krogh, A. (1996) Learning with ensembles: how over-fitting can be useful. In D. Touretsky, M. Mozer & M. Hasselmo (Eds), Advances in Neural Information Processing Systems, Vol. 8. Cambridge, MA: MIT Press.
    • (1996) Advances in Neural Information Processing Systems , vol.8
    • Sollich, P.1    Krogh, A.2
  • 34
    • 0028529307 scopus 로고
    • Knowledge-based artificial neural networks
    • Towell, G. & Shavlik, J. (1994) Knowledge-based artificial neural networks. Artificial Intelligence, 70, 119-165.
    • (1994) Artificial Intelligence , vol.70 , pp. 119-165
    • Towell, G.1    Shavlik, J.2
  • 35
    • 0000442861 scopus 로고
    • Combining estimators using non-constant weighting functions
    • G. Tesauro, D. Touretzky & T. Leen (Eds) Cambridge, MA: MIT Press
    • Tresp, V. & Taniguchi, M. (1995) Combining estimators using non-constant weighting functions. In G. Tesauro, D. Touretzky & T. Leen (Eds), Advances in Neural Information Processing Systems, Vol. 7. Cambridge, MA: MIT Press.
    • (1995) Advances in Neural Information Processing Systems , vol.7
    • Tresp, V.1    Taniguchi, M.2
  • 36
    • 0026692226 scopus 로고
    • Stacked generalization
    • Wolpert, D. (1992) Stacked generalization. Neural Networks, 5, 241-259.
    • (1992) Neural Networks , vol.5 , pp. 241-259
    • Wolpert, D.1
  • 37
    • 0026771388 scopus 로고
    • Hybrid system for protein secondary structure prediction
    • Zhang, X., Mesirov, J. & Waltz, D (1992) Hybrid system for protein secondary structure prediction. Journal of Molecular Biology, 225, 1049-1063.
    • (1992) Journal of Molecular Biology , vol.225 , pp. 1049-1063
    • Zhang, X.1    Mesirov, J.2    Waltz, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.