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Volumn 21, Issue 9, 2000, Pages 787-803

Growing a tree classifier with imprecise data

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; DATA STRUCTURES; LEARNING SYSTEMS;

EID: 0034251420     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(00)00040-4     Document Type: Article
Times cited : (21)

References (16)
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    • 85120144697 scopus 로고    scopus 로고
    • Chavent, M., 1998. A monothetic clustering method. Pattern Recognition Letters 11 (19), 989–996
  • 4
    • 85120109752 scopus 로고    scopus 로고
    • Ciampi, A., 1992. Constructing prediction trees from data: the recpam approach. In: Proceedings from the Prague 1991 University Summer School on Computational Aspects of Model Choice. Physica Verlag, Heidelberg, pp. 105–152
  • 5
    • 85120134161 scopus 로고    scopus 로고
    • Ciampi, A., Diday, E., Lebbe, J., Vignes, R., 1994. Recursive partition and symbolic data analysis. In: Diday, E., et al. (Eds.), New Approaches in Classification and Data Analysis. Springer, Berlin, pp. 277–284
  • 6
    • 85120106051 scopus 로고    scopus 로고
    • Ciampi, A., Diday, E., Lebbe, J., Périnel, E., Vignes, R., 1996. Recursive partition with probabilistically imprecise data. In: Diday E., et al. (Eds.), Ordinal and Symbolic Data Analysis. Springer, Berlin, pp. 201–212
  • 7
    • 85120123280 scopus 로고    scopus 로고
    • Diday, E., 1995. Probabilistic objects for a symbolic data analysis. dimacs , Series in Discrete Mathematics and Theorical Computers, Vol. 19
  • 9
    • 0026831106 scopus 로고
    • Symbolic clustering using a new dissimilarity measure
    • K.C. Gowda E. Diday Symbolic clustering using a new dissimilarity measure IEEE Trans. Systems Man, Cybernet. 22 2 1992 368 378
    • (1992) IEEE Trans. Systems Man, Cybernet. , vol.22 , Issue.2 , pp. 368-378
    • Gowda, K.C.1    Diday, E.2
  • 10
    • 85120143489 scopus 로고    scopus 로고
    • D.J. Hand Construction an Assessment of Classification Rules 1999 Wiley NewYork
    • (1999)
    • Hand, D.J.1
  • 11
    • 21144460553 scopus 로고
    • Conjugate gradient acceleration of the em algorithm
    • M. Jamshidian R.I. Jennrich Conjugate gradient acceleration of the em algorithm J. Amer. Statist. Assoc. 88 421 1993 221 228
    • (1993) J. Amer. Statist. Assoc. , vol.88 , Issue.421 , pp. 221-228
    • Jamshidian, M.1    Jennrich, R.I.2
  • 12
    • 0029617280 scopus 로고
    • Convergence results for the EM approach to mixtures-of-experts architectures
    • M.I. Jordan L. Xu Convergence results for the EM approach to mixtures-of-experts architectures Neural Networks 8 9 1995 1409 1431
    • (1995) Neural Networks , vol.8 , Issue.9 , pp. 1409-1431
    • Jordan, M.I.1    Xu, L.2
  • 13
    • 85120124458 scopus 로고    scopus 로고
    • Lebbe, J., 1991. Représentation des concepts en biologie et en médecine. Ph.D. Thesis, University Pierre et Marie Curie, Paris vi -Jussieu
  • 14
    • 85120129124 scopus 로고    scopus 로고
    • Périnel, E., 1996. Méthodes de segmentation et analyse des données symboliques. Le cas de données probabilistes imprécises. Ph.D. Thesis, University Paris ix -Dauphine
  • 15
    • 85120127483 scopus 로고    scopus 로고
    • Quinlan, J.R., 1990. Probabilistic decision trees. In: Kodratoff, Y., Michalski, R. (Eds.), Machine Learning III, pp. 140–152
  • 16
    • 0000868331 scopus 로고
    • Induction of fuzzy decision trees
    • Y. Yuan M.J. Shaw Induction of fuzzy decision trees Fuzzy Sets and Systems 69 1995 125 139
    • (1995) Fuzzy Sets and Systems , vol.69 , pp. 125-139
    • Yuan, Y.1    Shaw, M.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.