메뉴 건너뛰기




Volumn 2557, Issue , 2002, Pages 511-522

Solving regression problems using competitive ensemble models

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; MIXTURES; REGRESSION ANALYSIS;

EID: 84888284376     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-36187-1_45     Document Type: Conference Paper
Times cited : (12)

References (24)
  • 1
    • 0019648059 scopus 로고
    • Computational methods for a mathematical theory of evidence
    • Barnett, J. A. "Computational methods for a mathematical theory of evidence", Proceedings of IJCAI, pp. 868-875, 1981.
    • (1981) Proceedings of IJCAI , pp. 868-875
    • Barnett, J.A.1
  • 3
    • 0032645080 scopus 로고    scopus 로고
    • An empirical comparison of voting classification algorithms: Bagging, boosting and variants
    • Bauer, E. and Kohavi, R. "An empirical comparison of voting classification algorithms: bagging, boosting and variants". Machine Learning, 36(1,2), 105-139, 1999.
    • (1999) Machine Learning , vol.36 , Issue.1-2 , pp. 105-139
    • Bauer, E.1    Kohavi, R.2
  • 4
    • 0001526276 scopus 로고
    • Improving the accuracy of an artificial neural network using multiple differently trained networks
    • Baxt,W. G. "Improving the accuracy of an artificial neural network using multiple differently trained networks". Neural Computation, 4:772-780, 1992.
    • (1992) Neural Computation , vol.4 , pp. 772-780
    • Baxt, W.G.1
  • 5
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L. "Bagging predictors". Machine Learning, 26(2):123-140, 1996.
    • (1996) Machine Learning , vol.26 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 6
    • 0022688781 scopus 로고
    • A robust layered control system for a mobile robot
    • Brooks, R. A. "A robust layered control system for a mobile robot". IEEE Journal of Robotics and Automation, 2:14-23, 1986.
    • (1986) IEEE Journal of Robotics and Automation , vol.2 , pp. 14-23
    • Brooks, R.A.1
  • 7
    • 0041822816 scopus 로고    scopus 로고
    • Hybridization and specialization of real-time recurrent learning-based neural networks
    • Catfolis, T. and Meert, K. "Hybridization and specialization of real-time recurrent learning-based neural networks", Connectionist Science, 9(1):51-70, 1997.
    • (1997) Connectionist Science , vol.9 , Issue.1 , pp. 51-70
    • Catfolis, T.1    Meert, K.2
  • 11
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Freund, Y. and R.Schapire. "A decision-theoretic generalization of on-line learning and an application to boosting". Journal of Computer and System Sciences, 55(1):119-139, 1997.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.2
  • 12
    • 0002432565 scopus 로고
    • Multivariate adaptive regression splines (with discussion)
    • Friedman J. "Multivariate adaptive regression splines (with discussion)". Annals of Statistics, 19(1), 1-82, 1991.
    • (1991) Annals of Statistics , vol.19 , Issue.1 , pp. 1-82
    • Friedman, J.1
  • 13
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting (with discussion)
    • Friedman, J., Hastie, T., and Tibshirani, R. "Additive logistic regression: a statistical view of boosting (with discussion)", Annals of Statistics, 28(2), 337-374, 2000.
    • (2000) Annals of Statistics , vol.28 , Issue.2 , pp. 337-374
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 14
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • Friedman, J. "Greedy function approximation: a gradient boosting machine". Annals of Statistics, 29(4). 2001.
    • (2001) Annals of Statistics , vol.29 , Issue.4
    • Friedman, J.1
  • 15
    • 0031171679 scopus 로고    scopus 로고
    • Optimal linear combinations of neural networks
    • Hashem, S. "Optimal linear combinations of neural networks". Neural Networks, 10(4):599-614, 1997.
    • (1997) Neural Networks , vol.10 , Issue.4 , pp. 599-614
    • Hashem, S.1
  • 17
    • 0000262562 scopus 로고
    • Hierarchical mixtures of experts and the em algorithm
    • Jordan, M. I. and Jacobs R. A. "Hierarchical mixtures of experts and the em algorithm". Neural Computation, 6(2):181-214, 1994.
    • (1994) Neural Computation , vol.6 , Issue.2 , pp. 181-214
    • Jordan, M.I.1    Jacobs, R.A.2
  • 19
    • 0027961797 scopus 로고
    • Combining the results of several neural network classifiers
    • Rogova, G. "Combining the results of several neural network classifiers". Neural Networks, 7(5):777-781, 1994.
    • (1994) Neural Networks , vol.7 , Issue.5 , pp. 777-781
    • Rogova, G.1
  • 20
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • Schapire, R. E. "The strength of weak learnability". Machine Learning, 5:197-227, 1990.
    • (1990) Machine Learning , vol.5 , pp. 197-227
    • Schapire, R.E.1
  • 23
    • 0034247206 scopus 로고    scopus 로고
    • MultiBoosting: A technique for combining boosting andwagging
    • Webb, G. "MultiBoosting: a technique for combining boosting andwagging". Machine Learning, 40(2): 159-196, 2000.
    • (2000) Machine Learning , vol.40 , Issue.2 , pp. 159-196
    • Webb, G.1
  • 24
    • 0026692226 scopus 로고
    • Stacked generalization
    • Wolpert, D.H. "Stacked generalization". Neural Networks, 5:241-259, 1992.
    • (1992) Neural Networks , vol.5 , pp. 241-259
    • Wolpert, D.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.