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Volumn , Issue , 2007, Pages 2887-2891

Agnostic learning with ensembles of classifiers

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMPUTER NETWORKS; LEARNING SYSTEMS; PARAMETER ESTIMATION;

EID: 51749118482     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2007.4371418     Document Type: Conference Paper
Times cited : (6)

References (35)
  • 3
    • 0000926506 scopus 로고
    • When Networks Disagree: Ensemble Methods for Hybrid Neural Networks
    • R. J. Mammone Ed, Chapman-Hall
    • M. P. Perrone, L. N. Cooper, When Networks Disagree: Ensemble Methods for Hybrid Neural Networks, in: R. J. Mammone (Ed.), Neural Networks for Speech and Image Processing, Chapman-Hall, 1993, pp. 126-142.
    • (1993) Neural Networks for Speech and Image Processing , pp. 126-142
    • Perrone, M.P.1    Cooper, L.N.2
  • 6
    • 85054435084 scopus 로고
    • Neural network ensembles, cross validation, and active learning
    • G. Tesauro, D. Touretzky, T. Leen Eds, The MIT Press
    • A. Krogh, J. Vedelsby, Neural network ensembles, cross validation, and active learning, in: G. Tesauro, D. Touretzky, T. Leen (Eds.), Advances in Neural Information Processing Systems, Vol. 7, The MIT Press, 1995, pp. 231-238.
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 231-238
    • Krogh, A.1    Vedelsby, J.2
  • 7
    • 0001066312 scopus 로고    scopus 로고
    • Optimal ensemble averaging of neural networks, Network, Comp
    • U. Naftaly, N. Intrator, D. Horn, Optimal ensemble averaging of neural networks, Network, Comp. Neural Sys. 8 (1997) 283-296.
    • (1997) Neural Sys , vol.8 , pp. 283-296
    • Naftaly, U.1    Intrator, N.2    Horn, D.3
  • 8
    • 0039240492 scopus 로고    scopus 로고
    • Statistical mechanics of ensemble learning
    • A. Krogh, P. Sollich, Statistical mechanics of ensemble learning, Physical Review E 55 (1) (1997) 811-825.
    • (1997) Physical Review E , vol.55 , Issue.1 , pp. 811-825
    • Krogh, A.1    Sollich, P.2
  • 9
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman, Bagging predictors, Machine Learning 24 (2) (1996) 123-140.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 11
    • 27744467138 scopus 로고    scopus 로고
    • A comparative study of autoregressive neural network hybrids
    • T. Taskaya-Temizel, M. Casey, A comparative study of autoregressive neural network hybrids, Neural Networks 18 (5-6) (2005) 781-789.
    • (2005) Neural Networks , vol.18 , Issue.5-6 , pp. 781-789
    • Taskaya-Temizel, T.1    Casey, M.2
  • 12
    • 0029304867 scopus 로고
    • Improving model accuracy using optimal linear combinations of trained neural networks
    • T. Hashem, B. Schmeiser, Improving model accuracy using optimal linear combinations of trained neural networks, IEEE Trans. Neural Networks 6 (3) (1995) 792-794.
    • (1995) IEEE Trans. Neural Networks , vol.6 , Issue.3 , pp. 792-794
    • Hashem, T.1    Schmeiser, B.2
  • 18
    • 0026692226 scopus 로고
    • Stacked generalization
    • D. Wolpert, Stacked generalization, Neural Networks 5 (1992) 241-259.
    • (1992) Neural Networks , vol.5 , pp. 241-259
    • Wolpert, D.1
  • 19
    • 5444251228 scopus 로고    scopus 로고
    • Detecting correlation in stock markets
    • J. Wichard, M. Ogorzałek, C. Merkwirth, Detecting correlation in stock markets, Physica A 344 (2004) 308-311.
    • (2004) Physica A , vol.344 , pp. 308-311
    • Wichard, J.1    Ogorzałek, M.2    Merkwirth, C.3
  • 20
    • 10944234944 scopus 로고    scopus 로고
    • J. Wichard, M. Ogorzałek, Time series prediction with ensemble models, in: Proc. IJCNN 2004, 2004, pp. 1625-1629.
    • J. Wichard, M. Ogorzałek, Time series prediction with ensemble models, in: Proc. IJCNN 2004, 2004, pp. 1625-1629.
  • 22
    • 26944467806 scopus 로고    scopus 로고
    • Stochastic gradient descent training of ensembles of DT-CNN classifiers for digit recognition
    • Kraków, Poland
    • C. Merkwirth, M. Ogorzałek, J. Wichard, Stochastic gradient descent training of ensembles of DT-CNN classifiers for digit recognition, in: Proceedings of the ECCTD, Vol. 2, Kraków, Poland, 2003, pp. 337-341.
    • (2003) Proceedings of the ECCTD , vol.2 , pp. 337-341
    • Merkwirth, C.1    Ogorzałek, M.2    Wichard, J.3
  • 25
    • 84872543023 scopus 로고    scopus 로고
    • Efficient BackProp
    • G. Orr, K. Müller Eds, Neural Networks: Tricks of the trade, of, Springer Verlag
    • Y. LeCun, L. Bottou, G. Orr, K. Müller, Efficient BackProp, in: G. Orr, K. Müller (Eds.), Neural Networks: Tricks of the trade, Vol. 1524 of Lecture Notes in Computer Science, Springer Verlag, 1998, pp. 9-50.
    • (1998) Lecture Notes in Computer Science , vol.1524 , pp. 9-50
    • LeCun, Y.1    Bottou, L.2    Orr, G.3    Müller, K.4
  • 26
    • 84943274699 scopus 로고
    • A direct adaptive method for faster back-propagation learning: The RPROP algorithm
    • San Francisco, CA
    • M. Riedmiller, H. Braun, A direct adaptive method for faster back-propagation learning: The RPROP algorithm, in: Proc. of the IEEE Int. Conf. on Neural Networks, San Francisco, CA, 1993, pp. 586-591.
    • (1993) Proc. of the IEEE Int. Conf. on Neural Networks , pp. 586-591
    • Riedmiller, M.1    Braun, H.2
  • 34
    • 47349132736 scopus 로고    scopus 로고
    • Logitboost with trees applied to the WCCI 2006 performance prediction challenge datasets
    • Vancouver, Canada
    • R. Lutz, Logitboost with trees applied to the WCCI 2006 performance prediction challenge datasets, in: Proceedings of the IEEE World Congress on Computational Intelligence, Vancouver, Canada, 2006, pp. 2966-2969.
    • (2006) Proceedings of the IEEE World Congress on Computational Intelligence , pp. 2966-2969
    • Lutz, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.