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Volumn 30, Issue 3, 2013, Pages 270-282

Cluster-based ensemble of classifiers

Author keywords

cluster based ensemble; ensemble classifier; multiple classifier system

Indexed keywords

CLUSTER-BASED; ENSEMBLE CLASSIFIERS; ENSEMBLE OF CLASSIFIERS; HIGHLY-CORRELATED; LEARNING PARAMETERS; MULTIPLE CLASSIFIER SYSTEMS; MULTIPLE CLUSTERS; UCI MACHINE LEARNING REPOSITORY;

EID: 84880328725     PISSN: 02664720     EISSN: 14680394     Source Type: Journal    
DOI: 10.1111/j.1468-0394.2012.00637.x     Document Type: Article
Times cited : (25)

References (32)
  • 1
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L., (1996) Bagging predictors, Machine Learning, 24 (2), 123-140.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 2
    • 54349120991 scopus 로고    scopus 로고
    • Local classifier weighting by quadratic programming
    • Cevikalp, H., and, R. Polikar, (2008) Local classifier weighting by quadratic programming, IEEE Transaction on Neural Networks, 19 (10), 1832-1838.
    • (2008) IEEE Transaction on Neural Networks , vol.19 , Issue.10 , pp. 1832-1838
    • Cevikalp, H.1    Polikar, R.2
  • 3
    • 58249090787 scopus 로고    scopus 로고
    • A generalized adaptive ensemble generation and aggregation approach for multiple classifiers systems
    • Chen, L., and, M.S. Kamel, (2009) A generalized adaptive ensemble generation and aggregation approach for multiple classifiers systems, Pattern Recognition, 42, 629-644.
    • (2009) Pattern Recognition , vol.42 , pp. 629-644
    • Chen, L.1    Kamel, M.S.2
  • 4
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • Demsar, J., (2006) Statistical comparisons of classifiers over multiple data sets, Journal of Machine Learning Research, 7, 1-30.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demsar, J.1
  • 5
    • 0031211090 scopus 로고    scopus 로고
    • Decision-theoretic generalization of on-line learning and an application to boosting
    • Freund, Y., and, R.E. Schapire, (1997) Decision-theoretic generalization of on-line learning and an application to boosting, Journal of Computer and System Sciences, 55 (1), 119-139.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 11
    • 0034830461 scopus 로고    scopus 로고
    • Decision templates for multiple classifier fusion: An experimental comparison
    • Kuncheva, L.I., J.C. Bezdek, and, R. Duin, (2001) Decision templates for multiple classifier fusion: an experimental comparison, Pattern Recognition, 34 (2), 299-314.
    • (2001) Pattern Recognition , vol.34 , Issue.2 , pp. 299-314
    • Kuncheva, L.I.1    Bezdek, J.C.2    Duin, R.3
  • 12
    • 34447289684 scopus 로고    scopus 로고
    • Combining classifiers for word sense disambiguation based on Dempster-Shafer theory and OWA operators
    • Le, C.A., V.-N. Huynh, A. Shimazua, and, Y. Nakamoria, (2007) Combining classifiers for word sense disambiguation based on Dempster-Shafer theory and OWA operators, Data & Knowledge Engineering, 63 (2), 381-396.
    • (2007) Data & Knowledge Engineering , vol.63 , Issue.2 , pp. 381-396
    • Le, C.A.1    Huynh, V.-N.2    Shimazua, A.3    Nakamoria, Y.4
  • 14
    • 58649083899 scopus 로고    scopus 로고
    • Learn++.NC: Combining ensemble of classifiers with dynamically weighted consult-and-vote for efficient incremental learning of new classes
    • Muhlbaier, M.D., A. Topalis, and, R. Polikar, (2009) Learn++.NC: combining ensemble of classifiers with dynamically weighted consult-and-vote for efficient incremental learning of new classes, IEEE Transaction on Neural Networks, 20 (1), 152-168.
    • (2009) IEEE Transaction on Neural Networks , vol.20 , Issue.1 , pp. 152-168
    • Muhlbaier, M.D.1    Topalis, A.2    Polikar, R.3
  • 16
    • 29144474640 scopus 로고    scopus 로고
    • Fuzzy bagging: A novel ensemble of classifiers
    • Nanni, L., and, A. Lumini, (2006) Fuzzy bagging: a novel ensemble of classifiers, Pattern Recognition, 39, 488-490.
    • (2006) Pattern Recognition , vol.39 , pp. 488-490
    • Nanni, L.1    Lumini, A.2
  • 19
    • 60849105643 scopus 로고    scopus 로고
    • Constructing ensembles of classifiers by means of weighted instance selection
    • Pedrajas, N.G., (2009) Constructing ensembles of classifiers by means of weighted instance selection, IEEE Transaction on Neural Networks, 20 (2), 258-277.
    • (2009) IEEE Transaction on Neural Networks , vol.20 , Issue.2 , pp. 258-277
    • Pedrajas, N.G.1
  • 20
    • 33748611921 scopus 로고    scopus 로고
    • Ensemble based systems in decision making
    • Polikar, R., (2006) Ensemble based systems in decision making, IEEE Circuits and Systems Magazine, 6 (3), 21-45.
    • (2006) IEEE Circuits and Systems Magazine , vol.6 , Issue.3 , pp. 21-45
    • Polikar, R.1
  • 24
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • Schapire, R.E., (1990) The strength of weak learnability, Machine Learning, 5 (2), 197-227.
    • (1990) Machine Learning , vol.5 , Issue.2 , pp. 197-227
    • Schapire, R.E.1
  • 28
    • 0037365188 scopus 로고    scopus 로고
    • Combining classifiers with meta decision trees
    • Todorovski, L., and, S. Dzeroski, (2003) Combining classifiers with meta decision trees, Machine Learning, 50, 223-249.
    • (2003) Machine Learning , vol.50 , pp. 223-249
    • Todorovski, L.1    Dzeroski, S.2
  • 29
    • 2342557114 scopus 로고    scopus 로고
    • Clustering classifiers for knowledge discovery from physically distributed databases
    • Tsoumakas, G., L. Angelis, and, I. Vlahavas, (2004) Clustering classifiers for knowledge discovery from physically distributed databases, Data & Knowledge Engineering, 49 (3), 223-242.
    • (2004) Data & Knowledge Engineering , vol.49 , Issue.3 , pp. 223-242
    • Tsoumakas, G.1    Angelis, L.2    Vlahavas, I.3
  • 31
    • 33744983327 scopus 로고    scopus 로고
    • Adaptive fusion and co-operative training for classifier ensembles
    • Wanas, N.M., R.A. Dara, and, M.S. Kamel, (2006) Adaptive fusion and co-operative training for classifier ensembles, Pattern Recogntion, 39, 1781-1794.
    • (2006) Pattern Recogntion , vol.39 , pp. 1781-1794
    • Wanas, N.M.1    Dara, R.A.2    Kamel, M.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.