메뉴 건너뛰기




Volumn , Issue 50, 2001, Pages 73-82

Ten measures of diversity in classifier ensembles: Limits for two classifiers

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFIERS; ERRORS; LEARNING SYSTEMS; MATHEMATICAL MODELS; PROBABILITY; STATISTICAL METHODS;

EID: 6344289532     PISSN: 09633308     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (33)

References (24)
  • 1
    • 0032645080 scopus 로고    scopus 로고
    • An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
    • E. Bauer and R. Kohavi. An empirical comparison of voting classification algorithms: Bagging, boosting, and variants. Machine Learning, 36:105-142, 1999.
    • (1999) Machine Learning , vol.36 , pp. 105-142
    • Bauer, E.1    Kohavi, R.2
  • 2
    • 0001963137 scopus 로고    scopus 로고
    • Combining predictors
    • A.J.C. Sharkey, editor. Springer-Verlag, London
    • L. Brieman. Combining predictors. In A.J.C. Sharkey, editor, Combining Artificial Neural Nets, pages 31-50. Springer-Verlag, London, 1999.
    • (1999) Combining Artificial Neural Nets , pp. 31-50
    • Brieman, L.1
  • 4
    • 0005227853 scopus 로고    scopus 로고
    • Design of effective neural network ensembles for image classification processes
    • to appear
    • G. Giacinto and F. Roli. Design of effective neural network ensembles for image classification processes. Image Vision and Computing Journal, 2000. (to appear).
    • (2000) Image Vision and Computing Journal
    • Giacinto, G.1    Roli, F.2
  • 6
    • 0001122278 scopus 로고    scopus 로고
    • Treating harmful collinearity in neural network ensembles
    • A.J.C. Sharkey, editor. Springer-Verlag, London
    • S. Hashem. Treating harmful collinearity in neural network ensembles. In A.J.C. Sharkey, editor, Combining Artificial Neural Nets, pages 101-125. Springer-Verlag, London, 1999.
    • (1999) Combining Artificial Neural Nets , pp. 101-125
    • Hashem, S.1
  • 8
    • 0002872346 scopus 로고    scopus 로고
    • Bias plus variance decomposition for zero-one loss functions
    • L. Saitta, editor. Morgan Kaufmann
    • R. Kohavi and D.H. Wolpert. Bias plus variance decomposition for zero-one loss functions. In L. Saitta, editor, Machine Learning: Proc. 13th International Conference, pages 275-283. Morgan Kaufmann, 1996.
    • (1996) Machine Learning: Proc. 13th International Conference , pp. 275-283
    • Kohavi, R.1    Wolpert, D.H.2
  • 9
    • 85054435084 scopus 로고
    • Neural network ensembles, cross validation and active learning
    • G. Tesauro, D.S. Touretzky, and T.K. Leen, editors. MIT Press, Cambridge, MA
    • A. Krogh and J. Vedelsby. Neural network ensembles, cross validation and active learning. In G. Tesauro, D.S. Touretzky, and T.K. Leen, editors, Advances in Neural Information Processing Systems, volume 7, pages 231-238. MIT Press, Cambridge, MA, 1995.
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 231-238
    • Krogh, A.1    Vedelsby, J.2
  • 10
    • 33846955212 scopus 로고    scopus 로고
    • Measures of diversity in classifier ensembles
    • submitted
    • L.I. Kuncheva and C.J. Whitaker. Measures of diversity in classifier ensembles. Machine Learning, 2000. (submitted).
    • (2000) Machine Learning
    • Kuncheva, L.I.1    Whitaker, C.J.2
  • 12
    • 84867038166 scopus 로고    scopus 로고
    • Classifier combinations: Implementations and theoretical issues
    • J. Kittler and F. Roli, editors. Cagliari, Italy. Springer
    • L. Lam. Classifier combinations: implementations and theoretical issues. In J. Kittler and F. Roli, editors, Multiple Classifier Systems, volume 1857 of Lecture Notes in Computer Science, pages 78-86, Cagliari, Italy, 2000. Springer.
    • (2000) Multiple Classifier Systems, Volume 1857 of Lecture Notes in Computer Science , vol.1857 , pp. 78-86
    • Lam, L.1
  • 13
    • 0033485370 scopus 로고    scopus 로고
    • Ensemble learning via negative correlation
    • Y. Liu and X. Yao. Ensemble learning via negative correlation. Neural Networks, 12:1399-1404, 1999.
    • (1999) Neural Networks , vol.12 , pp. 1399-1404
    • Liu, Y.1    Yao, X.2
  • 14
    • 0024193278 scopus 로고
    • A statistical technique for comparing the accuracies of several classifiers
    • S.W. Looney. A statistical technique for comparing the accuracies of several classifiers. Pattern Recognition Letters, 8:5-9, 1988.
    • (1988) Pattern Recognition Letters , vol.8 , pp. 5-9
    • Looney, S.W.1
  • 15
    • 0012987265 scopus 로고    scopus 로고
    • A genetic algorithm approach for creating neural network ensembles
    • A.J.C. Sharkey, editor. Springer-Verlag, London
    • D. Opitz and J. Shavlik. A genetic algorithm approach for creating neural network ensembles. In A.J.C. Sharkey, editor, Combining Artificial Neural Nets, pages 79-99. Springer-Verlag, London, 1999.
    • (1999) Combining Artificial Neural Nets , pp. 79-99
    • Opitz, D.1    Shavlik, J.2
  • 17
    • 0031244715 scopus 로고    scopus 로고
    • Software diversity: Practical statistics for its measurement and exploitation
    • D. Partridge and W. J. Krzanowski. Software diversity: practical statistics for its measurement and exploitation. Information & Software Technology, 39:707-717, 1997.
    • (1997) Information & Software Technology , vol.39 , pp. 707-717
    • Partridge, D.1    Krzanowski, W.J.2
  • 18
    • 0030367578 scopus 로고    scopus 로고
    • Ensemble learning using decorrelated neural networks
    • B.E. Rosen. Ensemble learning using decorrelated neural networks. Connection Science, 8(3/4) :373-383, 1996.
    • (1996) Connection Science , vol.8 , Issue.3-4 , pp. 373-383
    • Rosen, B.E.1
  • 22
    • 0030365938 scopus 로고    scopus 로고
    • Error correlation and error reduction in ensemble classifiers
    • K. Turner and J. Ghosh. Error correlation and error reduction in ensemble classifiers. Connection Science, 8(3/4):385-404, 1996.
    • (1996) Connection Science , vol.8 , Issue.3-4 , pp. 385-404
    • Turner, K.1    Ghosh, J.2
  • 23
    • 0001562581 scopus 로고    scopus 로고
    • Linear and order statistics combiners for pattern classification
    • A.J.C. Sharkey, editor. Springer-Verlag, London
    • K. Turner and J. Ghosh. Linear and order statistics combiners for pattern classification. In A.J.C. Sharkey, editor, Combining Artificial Neural Nets, pages 127-161. Springer-Verlag, London, 1999.
    • (1999) Combining Artificial Neural Nets , pp. 127-161
    • Turner, K.1    Ghosh, J.2
  • 24
    • 0001218846 scopus 로고
    • On the association of attributes in statistics
    • G.U. Yule. On the association of attributes in statistics. Phil. Trans., A, 194:257-319, 1900.
    • (1900) Phil. Trans., A , vol.194 , pp. 257-319
    • Yule, G.U.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.