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Volumn 1, Issue , 2005, Pages 176-181

Similarity-based classifier combination for decision making

Author keywords

Classifier; Combination; Decision making; Similarity

Indexed keywords

CLASSIFIERS; COMPUTATIONAL COMPLEXITY; LEARNING SYSTEMS; PROBABILITY;

EID: 27944467810     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (21)
  • 2
    • 8344230069 scopus 로고    scopus 로고
    • Neuro-fuzzy knowledge integration applied in toxicity prediction, innovations in knowledge engineering
    • R. Jain, A. Abraham, C.Faucher, B.J. van der Zwaag (ed.)
    • D.Neagu and G.Gini. Neuro-Fuzzy Knowledge Integration Applied in Toxicity Prediction, Innovations In Knowledge Engineering, R. Jain, A. Abraham, C.Faucher, B.J. van der Zwaag (ed.), Advanced Knowledge International, pp. 311-342, 2003.
    • (2003) Advanced Knowledge International , pp. 311-342
    • Neagu, D.1    Gini, G.2
  • 6
    • 21144446981 scopus 로고    scopus 로고
    • Towards automated classifier combination for pattern recognition
    • Springer Verlag, 2003, T. Wideatt, Fabio Roli (eds.)
    • A. Baykut, A. Ercil. Towards Automated Classifier Combination for Pattern Recognition. Multiple Classifier Systems, Springer Verlag, 2003, T. Wideatt, Fabio Roli (eds.), pp. 94-105, 2003.
    • (2003) Multiple Classifier Systems , pp. 94-105
    • Baykut, A.1    Ercil, A.2
  • 9
    • 2342423096 scopus 로고    scopus 로고
    • Class-wise multi-classifier combination based on dempster-shafer theory
    • B. Zhang and S.N.Srihari. Class-Wise Multi-Classifier Combination Based on Dempster-Shafer Theory. In Proc. of ICARV'02, 2002.
    • (2002) Proc. of ICARV'02
    • Zhang, B.1    Srihari, S.N.2
  • 10
    • 9444249989 scopus 로고    scopus 로고
    • Combining multiple classifiers using dempster-shafer's rule for text categorization
    • Y.Bi, D.Bell, H.Wang, G.Guo and K.Greer. Combining Multiple Classifiers Using Dempster-Shafer's Rule for Text Categorization. In Proc. of MDAI'04, LNCS 313/2004, pp. 127-138, 2004.
    • (2004) Proc. of MDAI'04, LNCS 313/2004 , pp. 127-138
    • Bi, Y.1    Bell, D.2    Wang, H.3    Guo, G.4    Greer, K.5
  • 11
    • 0026860706 scopus 로고
    • Methods of combination multiple classifiers and their applications to handwritten recognition
    • May/June
    • L. Xu, A.Krzyzak, and C. Suen. Methods of Combination Multiple Classifiers and Their Applications to Handwritten Recognition. IEEE Transactions on Systems, Man and Cybernetics, SMC-22(3):418-435, May/June 1992.
    • (1992) IEEE Transactions on Systems, Man and Cybernetics , vol.SMC-22 , Issue.3 , pp. 418-435
    • Xu, L.1    Krzyzak, A.2    Suen, C.3
  • 12
    • 85065703189 scopus 로고    scopus 로고
    • Correlation-based feature selection for discrete and numeric class machine learning
    • Standford University, CA, Morgan Kaufmann
    • M. A. Hall. Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning. In Proc. of ICML00, Standford University, CA, Morgan Kaufmann, pp.359-366, 2000.
    • (2000) Proc. of ICML00 , pp. 359-366
    • Hall, M.A.1
  • 14
    • 0036882521 scopus 로고    scopus 로고
    • Comparative assessment of methods to develop QSARs for the prediction of the toxicity of phenols to tetrahymena pyriformis
    • M.T.D.Cronin, A.O. Aptula, J.C. Duffy et al. Comparative Assessment of Methods to Develop QSARs for the Prediction of the Toxicity of Phenols to Tetrahymena Pyriformis. Chemosphere 49, pp. 1201-1221, 2002.
    • (2002) Chemosphere , vol.49 , pp. 1201-1221
    • Cronin, M.T.D.1    Aptula, A.O.2    Duffy, J.C.3
  • 16
    • 0348151971 scopus 로고    scopus 로고
    • Combining classifiers: Soft computing solutions
    • S.K. Pal (Eds.) World Scientific, Singapore
    • L.I. Kuncheva. Combining Classifiers: Soft Computing Solutions. In: S.K. Pal (Eds.) Pattern Recognition: From Classical to Modern Approaches, pp. 427-452, World Scientific, Singapore.
    • Pattern Recognition: from Classical to Modern Approaches , pp. 427-452
    • Kuncheva, L.I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.