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Volumn 3077, Issue , 2004, Pages 184-193

Spectral measure for multi-class problems

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

EID: 33947396597     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-25966-4_18     Document Type: Article
Times cited : (2)

References (12)
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    • Kuncheva, L.I.1    Whitaker, C.J.2
  • 2
    • 0036896235 scopus 로고    scopus 로고
    • An experimental study on diversity for bagging and boosting with linear classifiers
    • L. I. Kuncheva, M. Skurichina, R.P.W. Duin. An experimental study on diversity for bagging and boosting with linear classifiers, Information Fusion, 3 (2), 2002, 245-258.
    • (2002) Information Fusion , vol.3 , Issue.2 , pp. 245-258
    • Kuncheva, L.I.1    Skurichina, M.2    Duin, R.P.W.3
  • 3
    • 0031198065 scopus 로고    scopus 로고
    • Spectral technique for hidden layer neural network training
    • T. Windeatt, R. Tebbs, Spectral technique for hidden layer neural network training, Pattern Recognition Letters, Vol.18(8), 1997, 723-731.
    • (1997) Pattern Recognition Letters , vol.18 , Issue.8 , pp. 723-731
    • Windeatt, T.1    Tebbs, R.2
  • 4
    • 0035363682 scopus 로고    scopus 로고
    • Recursive Partitioning for combining multiple classifiers
    • June
    • T. Windeatt, Recursive Partitioning for combining multiple classifiers, Neural Processing Letters 13(3), June 2001, 221-236.
    • (2001) Neural Processing Letters , vol.13 , Issue.3 , pp. 221-236
    • Windeatt, T.1
  • 5
    • 0142120457 scopus 로고    scopus 로고
    • Vote Counting Measures for Ensemble Classifiers
    • T. Windeatt, Vote Counting Measures for Ensemble Classifiers, Pattern Recognition 36(12), 2003, 2743-2756.
    • (2003) Pattern Recognition , vol.36 , Issue.12 , pp. 2743-2756
    • Windeatt, T.1
  • 8
    • 0037368938 scopus 로고    scopus 로고
    • Coding and Decoding Strategies for multiclass learning problems
    • T. Windeatt T. R. Ghaderi., Coding and Decoding Strategies for multiclass learning problems, Information Fusion, 4(1), 2003, 11-21.
    • (2003) Information Fusion , vol.4 , Issue.1 , pp. 11-21
    • Windeatt, T.1    Ghaderi, T.R.2
  • 9
    • 34547504398 scopus 로고    scopus 로고
    • Improved Output Coding for Classification Using Continuous Relaxation
    • T.G.Dietterich, S. Becker, and Z. Ghahramani (eds.) MIT Press, Mass.
    • K. Crammer, Y. Singer, Improved Output Coding for Classification Using Continuous Relaxation, in T.G.Dietterich, S. Becker, and Z. Ghahramani (eds.) Advances in Neural Information Processing Systems 14. MIT Press, Mass., 2002.
    • (2002) Advances in Neural Information Processing Systems , vol.14
    • Crammer, K.1    Singer, Y.2
  • 10
    • 0000040021 scopus 로고    scopus 로고
    • Using output codes to boost multiclass learning problems
    • Morgan Kaufman
    • R. E. Schapire, Using output codes to boost multiclass learning problems, 14th Int. Conf. of Machine Learning, Morgan Kaufman,1997, 313-321.
    • (1997) 14th Int. Conf. of Machine Learning , pp. 313-321
    • Schapire, R.E.1
  • 11
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    • Linear Combiners for Classifier Fusion: Some Theoretical and Experimental Results
    • Proc. of 4th Int. Workshop on Multiple Classifier Systems, Eds: T.Windeatt, F. Roli, Guildford, UK, Springer Verlag, June
    • G. Fumera, F. Roli, Linear Combiners for Classifier Fusion: Some Theoretical and Experimental Results, Proc. of 4th Int. Workshop on Multiple Classifier Systems, Eds: T.Windeatt, F. Roli, Guildford, UK, Lecture Notes in Comp. Science, Springer Verlag, June 2003, 74-83.
    • (2003) Lecture Notes in Comp. Science , pp. 74-83
    • Fumera, G.1    Roli, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.