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Volumn 7064 LNCS, Issue PART 3, 2011, Pages 292-298

An evolutionary algorithm based optimization of neural ensemble classifiers

Author keywords

evolutionary algorithms; Neural ensemble classifiers; optimization

Indexed keywords

AUTOMATIC METHOD; BASE CLASSIFIERS; BENCHMARK DATASETS; COMPARATIVE ANALYSIS; DATA PATTERNS; ENSEMBLE CLASSIFIERS; NEURAL ENSEMBLES; NUMBER OF LAYERS; OPTIMAL NUMBER; REAL-WORLD APPLICATION; UNKNOWN CLASS;

EID: 81855218216     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24965-5_32     Document Type: Conference Paper
Times cited : (5)

References (24)
  • 2
    • 0037403516 scopus 로고    scopus 로고
    • Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy
    • Kuncheva, L.I., Whitaker, C.J.: Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy. Machine Learning 51, 181-207 (2003)
    • (2003) Machine Learning , vol.51 , pp. 181-207
    • Kuncheva, L.I.1    Whitaker, C.J.2
  • 5
    • 0030211964 scopus 로고    scopus 로고
    • Bagging Predictors
    • Breiman, L.: Bagging Predictors. Machine Learning 24, 123-140 (1996)
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 6
    • 58249090787 scopus 로고    scopus 로고
    • A Generalized Adaptive Ensemble Generation and Aggregation Approach for Multiple Classifiers Systems
    • Chen, L., Kamel, M.S.: A Generalized Adaptive Ensemble Generation and Aggregation Approach for Multiple Classifiers Systems. Pattern Recognition 42, 629-644 (2009)
    • (2009) Pattern Recognition , vol.42 , pp. 629-644
    • Chen, L.1    Kamel, M.S.2
  • 7
    • 29144474640 scopus 로고    scopus 로고
    • Fuzzy Bagging: A Novel Ensemble of Classifiers
    • Nanni, L., Lumini, A.: Fuzzy Bagging: A Novel Ensemble of Classifiers. Pattern Recognition 39, 488-490 (2006)
    • (2006) Pattern Recognition , vol.39 , pp. 488-490
    • Nanni, L.1    Lumini, A.2
  • 8
    • 0025448521 scopus 로고
    • The Strength of Weak Learnability
    • Schapire, R.E.: The Strength of Weak Learnability. Machine Learning 5, 197-227 (1990)
    • (1990) Machine Learning , vol.5 , pp. 197-227
    • Schapire, R.E.1
  • 9
    • 0031211090 scopus 로고    scopus 로고
    • Decision-theoretic Generalization of On-line Learning and an Application to Boosting
    • Freund, Y., Schapire, R.E.: Decision-theoretic Generalization of On-line Learning and an Application to Boosting. Journal of Computer and System Sciences 55, 119-139 (1997)
    • (1997) Journal of Computer and System Sciences , vol.55 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 10
    • 60849105643 scopus 로고    scopus 로고
    • Constructing Ensembles of Classifiers by Means of Weighted Instance Selection
    • Pedrajas, N.G.: Constructing Ensembles of Classifiers by Means of Weighted Instance Selection. IEEE Transactions on Neural Networks 20, 258-277 (2009)
    • (2009) IEEE Transactions on Neural Networks , vol.20 , pp. 258-277
    • Pedrajas, N.G.1
  • 11
    • 34247205823 scopus 로고    scopus 로고
    • Multi-Class Learning by Smoothed Boosting
    • Jin, M., Zhang, J.: Multi-Class Learning by Smoothed Boosting. Machine Learning 67, 207-227 (2007)
    • (2007) Machine Learning , vol.67 , pp. 207-227
    • Jin, M.1    Zhang, J.2
  • 13
    • 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., Topalis, A., Polikar, R.: Learn++. NC: Combining Ensemble of Classifiers with Dynamically Weighted Consult-and-vote for Efficient Incremental Learning of New Classes. IEEE Transactions on Neural Networks 20, 152-168 (2009)
    • (2009) IEEE Transactions on Neural Networks , vol.20 , pp. 152-168
    • Muhlbaier, M.D.1    Topalis, A.2    Polikar, R.3
  • 16
    • 0036532571 scopus 로고    scopus 로고
    • Switching between Selection and Fusion in Combining Classifiers: An Experiment
    • Kuncheva, L.I.: Switching Between Selection and Fusion in Combining Classifiers: an Experiment. IEEE Transactions on Systems, Man and Cybernetics 32, 146-156 (2002)
    • (2002) IEEE Transactions on Systems, Man and Cybernetics , vol.32 , pp. 146-156
    • Kuncheva, L.I.1
  • 19
    • 78649934709 scopus 로고    scopus 로고
    • School of Information and Computer Science
    • Frank, A., Asuncion, A.: UCI Machine Learning Repository: University of California, School of Information and Computer Science, http://archive.ics.uci. edu/ml
    • UCI Machine Learning Repository
    • Frank, A.1    Asuncion, A.2
  • 24
    • 33744983327 scopus 로고    scopus 로고
    • Adaptive Fusion and Co-Operative Training for Classifier Ensembles
    • Wanas, N.M., Dara, R.A., Kamel, M.S.: Adaptive Fusion and Co-Operative Training for Classifier Ensembles. Pattern Recognition 39, 1781-1794 (2006)
    • (2006) Pattern Recognition , 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.