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Volumn 2, Issue , 2015, Pages 274-279

Evolutionary extreme learning machine based weighted nearest-neighbor equality classification

Author keywords

Classification; Differential evolution; Extreme learning machine; Feature weighting; Nearest neighbor

Indexed keywords

CLASSIFICATION (OF INFORMATION); CYBERNETICS; EVOLUTIONARY ALGORITHMS; KNOWLEDGE ACQUISITION; LEARNING ALGORITHMS; MAN MACHINE SYSTEMS; OPTIMIZATION;

EID: 84954457146     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IHMSC.2015.181     Document Type: Conference Paper
Times cited : (6)

References (35)
  • 6
    • 84926662675 scopus 로고
    • Nearest neighbor pattern classification
    • T. Cover and P. Hart, "Nearest neighbor pattern classification, " IEEE Transactions on Information Theory, vol. 13, no. 1, pp. 21-27, 1967.
    • (1967) IEEE Transactions on Information Theory , vol.13 , Issue.1 , pp. 21-27
    • Cover, T.1    Hart, P.2
  • 8
    • 80052812410 scopus 로고    scopus 로고
    • Fuzzy-rough nearest neighbour classification and prediction
    • R. Jensen and C. Cornelis, "Fuzzy-rough nearest neighbour classification and prediction, " Theoretical Computer Science, vol. 412, no. 42, pp. 5871-5884, 2011.
    • (2011) Theoretical Computer Science , vol.412 , Issue.42 , pp. 5871-5884
    • Jensen, R.1    Cornelis, C.2
  • 9
    • 80052949352 scopus 로고    scopus 로고
    • K nearest neighbor equality: Giving equal chance to all existing classes
    • B. Sierra, E. Lazkano, I. Irigoien, E. Jauregi, and I. Mendialdua, "K nearest neighbor equality: Giving equal chance to all existing classes, " Information Sciences, vol. 181, no. 23, pp. 5158-5168, 2011.
    • (2011) Information Sciences , vol.181 , Issue.23 , pp. 5158-5168
    • Sierra, B.1    Lazkano, E.2    Irigoien, I.3    Jauregi, E.4    Mendialdua, I.5
  • 11
    • 33745903481 scopus 로고    scopus 로고
    • Extreme learning machine: Theory and applications
    • G. B. Huang, Q. Y. Zhu, and C. K. Siew, "Extreme learning machine: theory and applications, " Neurocomputing, vol. 70, no. 1, pp. 489-501, 2006.
    • (2006) Neurocomputing , vol.70 , Issue.1 , pp. 489-501
    • Huang, G.B.1    Zhu, Q.Y.2    Siew, C.K.3
  • 14
    • 84876924052 scopus 로고    scopus 로고
    • Bidirectional extreme learning machine for regression problem and its learning effectiveness
    • Y. Yang, Y. Wang, and X. Yuan, "Bidirectional extreme learning machine for regression problem and its learning effectiveness, " IEEE Transactions on Neural Networks and Learning Systems, vol. 23, no. 9, pp. 1498-1505, 2012.
    • (2012) IEEE Transactions on Neural Networks and Learning Systems , vol.23 , Issue.9 , pp. 1498-1505
    • Yang, Y.1    Wang, Y.2    Yuan, X.3
  • 15
    • 84863032379 scopus 로고    scopus 로고
    • Evolutionary fuzzy extreme learning machine for mammographic risk analysis
    • Y. Qu, C. Shang, W. Wu, and Q. Shen, "Evolutionary fuzzy extreme learning machine for mammographic risk analysis, " International Journal of Fuzzy Systems, vol. 13, no. 4, pp. 282-291, 2011.
    • (2011) International Journal of Fuzzy Systems , vol.13 , Issue.4 , pp. 282-291
    • Qu, Y.1    Shang, C.2    Wu, W.3    Shen, Q.4
  • 16
    • 0142000477 scopus 로고    scopus 로고
    • Differential evolution - A simple and efficient heuristic for global optimization over continuous spaces
    • R. Storn and K. Price, "Differential evolution - A simple and efficient heuristic for global optimization over continuous spaces, " Journal of Global Optimization, vol. 11, no. 4, pp. 341-359, 1997.
    • (1997) Journal of Global Optimization , vol.11 , Issue.4 , pp. 341-359
    • Storn, R.1    Price, K.2
  • 17
  • 19
    • 4043137356 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • A. J. Smola and B. Schölkopf, "A tutorial on support vector regression, " Statistics and Computing, vol. 14, no. 3, pp. 199-222, 2004.
    • (2004) Statistics and Computing , vol.14 , Issue.3 , pp. 199-222
    • Smola, A.J.1    Schölkopf, B.2
  • 20
    • 0025725905 scopus 로고
    • Instance-based learning algorithms
    • D. W. Aha, D. Kibler, and M. K. Albert, "Instance-based learning algorithms, " Machine Learning, vol. 6, no. 1, pp. 37-66, 1991.
    • (1991) Machine Learning , vol.6 , Issue.1 , pp. 37-66
    • Aha, D.W.1    Kibler, D.2    Albert, M.K.3
  • 27
    • 25144492516 scopus 로고    scopus 로고
    • Efficient feature selection via analysis of relevance and redundancy
    • -, "Efficient feature selection via analysis of relevance and redundancy, " The Journal of Machine Learning Research, vol. 5, pp. 1205-1224, 2004.
    • (2004) The Journal of Machine Learning Research , vol.5 , pp. 1205-1224
    • Yu, L.1    Liu, H.2
  • 29
    • 84943383590 scopus 로고    scopus 로고
    • Identifying important features for intrusion detection using support vector machines and neural networks
    • A. H. Sung and S. Mukkamala, "Identifying important features for intrusion detection using support vector machines and neural networks, " IEEE Symposium on Applications and the Internet, pp. 209-216, 2003.
    • (2003) IEEE Symposium on Applications and the Internet , pp. 209-216
    • Sung, A.H.1    Mukkamala, S.2
  • 31
    • 77958105216 scopus 로고    scopus 로고
    • Ontology-based clustering algorithm with feature weights
    • L. Zhang and Z. Wang, "Ontology-based clustering algorithm with feature weights, " Journal of Computational Information Systems, vol. 6, no. 9, pp. 2959-2966, 2010.
    • (2010) Journal of Computational Information Systems , vol.6 , Issue.9 , pp. 2959-2966
    • Zhang, L.1    Wang, Z.2
  • 32
    • 0022500965 scopus 로고
    • The use of relative operating characteristic (roc) curves in test performance evaluation
    • J. R. Beck and E. K. Shultz, "The use of relative operating characteristic (roc) curves in test performance evaluation. " Archives of Pathology & Laboratory Medicine, vol. 110, no. 1, pp. 13-20, 1986.
    • (1986) Archives of Pathology & Laboratory Medicine , vol.110 , Issue.1 , pp. 13-20
    • Beck, J.R.1    Shultz, E.K.2
  • 33
    • 14644390912 scopus 로고    scopus 로고
    • Using auc and accuracy in evaluating learning algorithms
    • J. Huang and C. X. Ling, "Using auc and accuracy in evaluating learning algorithms, " IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 3, pp. 299-310, 2005.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.3 , pp. 299-310
    • Huang, J.1    Ling, C.X.2
  • 34
    • 0003562954 scopus 로고    scopus 로고
    • A simple generalisation of the area under the roc curve for multiple class classification problems
    • D. J. Hand and R. J. Till, "A simple generalisation of the area under the roc curve for multiple class classification problems, " Machine Learning, vol. 45, no. 2, pp. 171-186, 2001.
    • (2001) Machine Learning , vol.45 , Issue.2 , pp. 171-186
    • Hand, D.J.1    Till, R.J.2
  • 35
    • 0036630603 scopus 로고    scopus 로고
    • Areas beneath the relative operating characteristics (roc) and relative operating levels (rol) curves: Statistical significance and interpretation
    • S. J. Mason and N. E. Graham, "Areas beneath the relative operating characteristics (roc) and relative operating levels (rol) curves: Statistical significance and interpretation, " Quarterly Journal of the Royal Meteorological Society, vol. 128, no. 584, pp. 2145-2166, 2002.
    • (2002) Quarterly Journal of the Royal Meteorological Society , vol.128 , Issue.584 , pp. 2145-2166
    • Mason, S.J.1    Graham, N.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.