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Volumn 3523, Issue II, 2005, Pages 59-66

Dynamic and static weighting in classifier fusion

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER SCIENCE; DATA PROCESSING; PROBLEM SOLVING;

EID: 25144461009     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11492542_8     Document Type: Conference Paper
Times cited : (20)

References (21)
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    • Kuncheva, L.I.1    Kountchev, R.K.2
  • 6
    • 0035899791 scopus 로고    scopus 로고
    • Using measures of similarity and inclusion for multiple classifier fusion by decision templates
    • Kuncheva, L.I.: Using measures of similarity and inclusion for multiple classifier fusion by decision templates, Fuzzy Sets and Systems 122 (2001) 401-407.
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    • Kuncheva, L.I.1
  • 7
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    • An asymptotic analysis of some expert fusion methods
    • Chen, D., Cheng, X.: An asymptotic analysis of some expert fusion methods, Pattern Recognition Letters 22 (2001) 901-904.
    • (2001) Pattern Recognition Letters , vol.22 , pp. 901-904
    • Chen, D.1    Cheng, X.2
  • 9
    • 84867095498 scopus 로고    scopus 로고
    • Complexity of classification problems and comparative advantages of combined classifiers
    • Springer
    • Ho, T.-K.: Complexity of classification problems and comparative advantages of combined classifiers, In: Proc. of the 1st Intl. Workshop on Multiple Classifier Systems, Springer (2000) 97-106.
    • (2000) Proc. of the 1st Intl. Workshop on Multiple Classifier Systems , pp. 97-106
    • Ho, T.-K.1
  • 10
    • 28344448004 scopus 로고    scopus 로고
    • Methods for combining heterogeneous sets of classifiers
    • Proc. of the 17th Natl. Conference on Artificial Intelligence (AAAI-2000)
    • Bahler, D., Navarro, L.: Methods for combining heterogeneous sets of classifiers, In: Proc. of the 17th Natl. Conference on Artificial Intelligence (AAAI-2000), Workshop on New Research Problems for Machine Learning (2000).
    • (2000) Workshop on New Research Problems for Machine Learning
    • Bahler, D.1    Navarro, L.2
  • 12
    • 0031361611 scopus 로고    scopus 로고
    • Machine learning research: Four current directions
    • Dietterich, G.T.: Machine learning research: four current directions, AI Magazine 18 (1997) 97-136.
    • (1997) AI Magazine , vol.18 , pp. 97-136
    • Dietterich, G.T.1
  • 13
    • 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
  • 18
    • 1642635261 scopus 로고    scopus 로고
    • On voting ensembles of classifiers
    • Proc. of the 13th Natl. Conference on Artificial Intelligence (AAAI-96)
    • Matan, O.: On voting ensembles of classifiers, In: Proc. of the 13th Natl. Conference on Artificial Intelligence (AAAI-96), Workshop on Integrating Multiple Learned Models (1996) 84-88.
    • (1996) Workshop on Integrating Multiple Learned Models , pp. 84-88
    • Matan, O.1
  • 19
    • 3242668674 scopus 로고
    • Combination of decisions by multiple classifiers
    • Springer-Verlag, Heidelberg
    • Ho, T.-K., Hull, J.J., Srihari, S.N.: Combination of Decisions by Multiple Classifiers, Structured Document Image Analysis, In: Springer-Verlag, Heidelberg (1992) 188-202.
    • (1992) Structured Document Image Analysis , pp. 188-202
    • Ho, T.-K.1    Hull, J.J.2    Srihari, S.N.3
  • 20
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    • Toward a universal law of generalization for psychological science
    • Shepard, R.N.: Toward a universal law of generalization for psychological science, Science 237 (1987) 1317-1323.
    • (1987) Science , vol.237 , pp. 1317-1323
    • Shepard, R.N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.