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Volumn 4, Issue 2, 2003, Pages 75-85

Resample and combine: An approach to improving uncertainty representation in evidential pattern classification

Author keywords

Bagging; Bootstrap; Character recognition; Decision fusion; Dempster Shafer theory; Evidence theory; K nearest neighbor rule; Supervised pattern recognition

Indexed keywords

INFORMATION ANALYSIS; INTERACTIVE DEVICES; STATISTICS;

EID: 0038476304     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1566-2535(03)00005-8     Document Type: Article
Times cited : (31)

References (28)
  • 1
    • 22444454855 scopus 로고    scopus 로고
    • Cascading classifiers
    • Alpaydin E., Kaynak C. Cascading classifiers. Kybernetika. 34(4):1998;369-374.
    • (1998) Kybernetika , vol.34 , Issue.4 , pp. 369-374
    • Alpaydin, E.1    Kaynak, C.2
  • 2
    • 0002819039 scopus 로고    scopus 로고
    • Uncertain data aggregation in classification and tracking processes
    • B. Bouchon-Meunier. Heidelberg: Physica-Verlag
    • Appriou A. Uncertain data aggregation in classification and tracking processes. Bouchon-Meunier B. Aggregation and Fusion of Imperfect Information. 1998;231-260 Physica-Verlag, Heidelberg.
    • (1998) Aggregation and Fusion of Imperfect Information , pp. 231-260
    • Appriou, A.1
  • 3
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman L. Bagging predictors. Machine Learning. 24:1996;123-140.
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 4
    • 0029307876 scopus 로고
    • A k -nearest neighbor classification rule based on Dempster-Shafer theory
    • Denœux T. A. k -nearest neighbor classification rule based on Dempster-Shafer theory IEEE Transactions on Systems, Man and Cybernetics. 25(05):1995;804-813.
    • (1995) IEEE Transactions on Systems, Man and Cybernetics , vol.25 , Issue.5 , pp. 804-813
    • Denœux, T.1
  • 5
    • 0031189743 scopus 로고    scopus 로고
    • Analysis of evidence-theoretic decision rules for pattern classification
    • Denœux T. Analysis of evidence-theoretic decision rules for pattern classification. Pattern Recognition. 30(7):1997;1095-1107.
    • (1997) Pattern Recognition , vol.30 , Issue.7 , pp. 1095-1107
    • Denœux, T.1
  • 7
    • 0001449934 scopus 로고    scopus 로고
    • Modeling vague beliefs using fuzzy-valued belief structures
    • Denœux T. Modeling vague beliefs using fuzzy-valued belief structures. Fuzzy Sets and Systems. 116(2):2000;167-199.
    • (2000) Fuzzy Sets and Systems , vol.116 , Issue.2 , pp. 167-199
    • Denœux, T.1
  • 8
    • 0033902309 scopus 로고    scopus 로고
    • A neural network classifier based on Dempster-Shafer theory
    • Denœux T. A neural network classifier based on Dempster-Shafer theory. IEEE Transactions on Systems, Man and Cybernetics A. 30(2):2000;131-150.
    • (2000) IEEE Transactions on Systems, Man and Cybernetics A , vol.30 , Issue.2 , pp. 131-150
    • Denœux, T.1
  • 9
    • 0034250160 scopus 로고    scopus 로고
    • An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting and randomization
    • Dietterich T.G. An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting and randomization. Machine Learning. 40(2):2000;1-19.
    • (2000) Machine Learning , vol.40 , Issue.2 , pp. 1-19
    • Dietterich, T.G.1
  • 12
    • 0002450033 scopus 로고    scopus 로고
    • Presentation and description of two classification methods using data fusion based on sensor management
    • Fabre S., Appriou A., Briottet X. Presentation and description of two classification methods using data fusion based on sensor management. Information Fusion. 2(1):2001;49-71.
    • (2001) Information Fusion , vol.2 , Issue.1 , pp. 49-71
    • Fabre, S.1    Appriou, A.2    Briottet, X.3
  • 13
    • 85012722936 scopus 로고
    • Combining the classification results of independent classifiers based on the Dempster-Shafer theory of evidence
    • E.S. Gelsema, & L.N. Kanal. Amsterdam: North-Holland
    • Mandler E., Schürmann J. Combining the classification results of independent classifiers based on the Dempster-Shafer theory of evidence. Gelsema E.S., Kanal L.N. Pattern Recognition and Artificial Intelligence. 1988;381-393 North-Holland, Amsterdam.
    • (1988) Pattern Recognition and Artificial Intelligence , pp. 381-393
    • Mandler, E.1    Schürmann, J.2
  • 15
    • 0035082231 scopus 로고    scopus 로고
    • Some classification algorithms integrating Dempster-Shafer theory of evidence with the rank nearest neighbor rules
    • Pal N.R., Ghosh S. Some classification algorithms integrating Dempster-Shafer theory of evidence with the rank nearest neighbor rules. IEEE Transactions on Systems, Man and Cybernetics A. 31(1):2001;59-66.
    • (2001) IEEE Transactions on Systems, Man and Cybernetics A , vol.31 , Issue.1 , pp. 59-66
    • Pal, N.R.1    Ghosh, S.2
  • 16
    • 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):1994;777-781.
    • (1994) Neural Networks , vol.7 , Issue.5 , pp. 777-781
    • Rogova, G.1
  • 18
    • 0001099898 scopus 로고
    • Perspectives in the theory and practice of belief functions
    • Shafer G. Perspectives in the theory and practice of belief functions. International Journal of Approximate Reasoning. 4:1990;323-362.
    • (1990) International Journal of Approximate Reasoning , vol.4 , pp. 323-362
    • Shafer, G.1
  • 21
    • 0002792194 scopus 로고
    • What is Dempster-Shafer's model?
    • R.R. Yager, M. Fedrizzi, & J. Kacprzyk. New York: Wiley
    • Smets P. What is Dempster-Shafer's model? Yager R.R., Fedrizzi M., Kacprzyk J. Advances in the Dempster-Shafer theory of evidence. 1994;5-34 Wiley, New York.
    • (1994) Advances in the Dempster-Shafer theory of Evidence , pp. 5-34
    • Smets, P.1
  • 22
    • 0031999096 scopus 로고    scopus 로고
    • The application of the transferable belief model to diagnosis problems
    • Smets P. The application of the transferable belief model to diagnosis problems. International Journal of Intelligent Systems. 13:1998;127-158.
    • (1998) International Journal of Intelligent Systems , vol.13 , pp. 127-158
    • Smets, P.1
  • 23
    • 0001099497 scopus 로고    scopus 로고
    • The transferable belief model for quantified belief representation
    • D.M. Gabbay, & P. Smets. Dordrecht: Kluwer Academic Publishers
    • Smets P. The transferable belief model for quantified belief representation. Gabbay D.M., Smets P. Handbook of Defeasible Reasoning and Uncertainty Management Systems. vol. 1:1998;267-301 Kluwer Academic Publishers, Dordrecht.
    • (1998) Handbook of Defeasible Reasoning and Uncertainty Management Systems , vol.1 , pp. 267-301
    • Smets, P.1
  • 24
    • 0001124012 scopus 로고    scopus 로고
    • Practical uses of belief functions
    • Stockholm, Sweden, August
    • P. Smets, Practical uses of belief functions, in: Proceedings of UAI'99, Stockholm, Sweden, August 1999.
    • (1999) Proceedings of UAI'99
    • Smets, P.1
  • 26
    • 0026860706 scopus 로고
    • Methods of combining multiple classifiers and their applications to handwriting recognition
    • Xu L., Krzyzak A., Suen C.Y. Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Transactions on Systems, Man and Cybernetics. 22(3):1992;418-435.
    • (1992) IEEE Transactions on Systems, Man and Cybernetics , vol.22 , Issue.3 , pp. 418-435
    • Xu, L.1    Krzyzak, A.2    Suen, C.Y.3
  • 27
    • 49349133217 scopus 로고
    • Fuzzy sets as a basis for a theory of possibility
    • Zadeh L.A. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems. 1:1978;3-28.
    • (1978) Fuzzy Sets and Systems , vol.1 , pp. 3-28
    • Zadeh, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.