메뉴 건너뛰기




Volumn , Issue , 2010, Pages

Ensemble particle swarm model selection

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE SELECTION;

EID: 79959391240     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2010.5596915     Document Type: Conference Paper
Times cited : (33)

References (28)
  • 1
    • 80053403826 scopus 로고    scopus 로고
    • Ensemble methods in machine learning
    • Proceedings of the First workshop on Multiple Classifier Systems, Springer
    • T. Dietterich, "Ensemble methods in machine learning," in Proceedings of the First workshop on Multiple Classifier Systems, vol. 1857 of LNCS, pp. 1-15, Springer, 2000.
    • (2000) LNCS , vol.1857 , pp. 1-15
    • Dietterich, T.1
  • 2
    • 78650452320 scopus 로고    scopus 로고
    • Some fundamental issues in ensemble methods
    • IEEE, July
    • W. Wang, "Some fundamental issues in ensemble methods," in IJCNN07, (Orlando, FL, USA), pp. 2244-2251, IEEE, July 2007.
    • (2007) IJCNN07, (Orlando, FL, USA) , pp. 2244-2251
    • Wang, W.1
  • 3
    • 56349125172 scopus 로고    scopus 로고
    • On diversity and accuracy of homogeneous and heterogeneous ensembles
    • S. Bian and W. Wang, "On diversity and accuracy of homogeneous and heterogeneous ensembles," International Journal of Hybrid Intelligent Systems, vol. 4, pp. 103-128, 2007.
    • (2007) International Journal of Hybrid Intelligent Systems , vol.4 , pp. 103-128
    • Bian, S.1    Wang, W.2
  • 4
    • 40649109726 scopus 로고    scopus 로고
    • Analysis of the ijcnn 2007 competition agnostic learning vs. prior knowledge
    • I. Guyon, A. Saffari, G. Dror, and G. Cawley, "Analysis of the ijcnn 2007 competition agnostic learning vs. prior knowledge," Neural Networks, vol. 21, no. 2-3, pp. 544-550, 2008.
    • (2008) Neural Networks , vol.21 , Issue.2-3 , pp. 544-550
    • Guyon, I.1    Saffari, A.2    Dror, G.3    Cawley, G.4
  • 6
    • 40649114835 scopus 로고    scopus 로고
    • Psms for neural networks on the ijcnn 2007 agnostic vs prior knowledge challenge
    • IEEE
    • H. J. Escalante, M. Montes, and E. Sucar, "Psms for neural networks on the ijcnn 2007 agnostic vs prior knowledge challenge," in IJCNN07, (Orlando, FL, USA), pp. 1191-1197, IEEE, 2007.
    • (2007) IJCNN07, (Orlando, FL, USA) , pp. 1191-1197
    • Escalante, H.J.1    Montes, M.2    Sucar, E.3
  • 7
    • 78651244369 scopus 로고    scopus 로고
    • Particle swarm model selection for authorship verification
    • Proceedings of the 14th Iberoamerican Congress on Pattern Recognition, Guadalajara, Mexico, Springer
    • H. J. Escalante, M. Montes, and L. Villaseñor, "Particle swarm model selection for authorship verification," in Proceedings of the 14th Iberoamerican Congress on Pattern Recognition, vol. 5856 of LNCS, (Guadalajara, Mexico), pp. pp. 563-570, Springer, 2009.
    • (2009) LNCS , vol.5856 , pp. 563-570
    • Escalante, H.J.1    Montes, M.2    Villaseñor, L.3
  • 8
    • 0037403516 scopus 로고    scopus 로고
    • Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
    • L. Kuncheva and C. Whitaker, "Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy," Machine Learning, vol. 51, pp. 181-207, 2003.
    • (2003) Machine Learning , vol.51 , pp. 181-207
    • Kuncheva, L.1    Whitaker, C.2
  • 10
    • 0030211964 scopus 로고    scopus 로고
    • Bagging prediction
    • L. Breiman, "Bagging prediction," Machine Learning, vol. 14, pp. 123-140, 1996.
    • (1996) Machine Learning , vol.14 , pp. 123-140
    • Breiman, L.1
  • 11
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman, "Random forests," Machine Learning, vol. 45, no. 1, pp. 5-32, 2001.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 15
    • 0142245479 scopus 로고    scopus 로고
    • Evolutionary computation for optimal ensemble classifier in lymphoma cancer classification
    • Foundations of Intelligent Systems: ISMIS (N. Z. et al., ed.), Maebashi City, Springer Berlin Heidelberg
    • C. Park and S. Cho, "Evolutionary computation for optimal ensemble classifier in lymphoma cancer classification," in Foundations of Intelligent Systems: ISMIS (N. Z. et al., ed.), vol. 2871 of LNAI, (Maebashi City), pp. 521-530, Springer Berlin Heidelberg, 2003.
    • (2003) LNAI , vol.2871 , pp. 521-530
    • Park, C.1    Cho, S.2
  • 16
    • 38049113167 scopus 로고    scopus 로고
    • Particle swarm optimization of multiple classifier systems
    • IWANN, Springer
    • M. Macas, D. R. B. Gabrys, and, and L. Lhotska, "Particle swarm optimization of multiple classifier systems," in IWANN, vol. 4507 of LNCS, pp. 333-340, Springer, 2007.
    • (2007) LNCS , vol.4507 , pp. 333-340
    • Macas, M.1    Gabrys, D.R.B.2    Lhotska, L.3
  • 17
    • 26844484312 scopus 로고    scopus 로고
    • Combining classifiers with particle swarms
    • ICNC (L. Wang et al., ed.), Springer Berlin Heidelberg
    • L. Yang and Z. Qin, "Combining classifiers with particle swarms," in ICNC (L. Wang et al., ed.), vol. 3611 of LNCS, pp. 756-763, Springer Berlin Heidelberg, 2005.
    • (2005) LNCS , vol.3611 , pp. 756-763
    • Yang, L.1    Qin, Z.2
  • 18
    • 0035202645 scopus 로고    scopus 로고
    • An approach to the automatic design of multiple classifier systems
    • G. Giacinto and F. Roli, "An approach to the automatic design of multiple classifier systems," Pattern Recognition Letters, vol. 22, no. 1, pp. 25-33, 2001.
    • (2001) Pattern Recognition Letters , vol.22 , Issue.1 , pp. 25-33
    • Giacinto, G.1    Roli, F.2
  • 19
    • 10444224737 scopus 로고    scopus 로고
    • Classifier selection for majority voting
    • March
    • D. Ruta and B. Gabrys, "Classifier selection for majority voting," Information Fusion, vol. 6, pp. 63-81, March 2005.
    • (2005) Information Fusion , vol.6 , pp. 63-81
    • Ruta, D.1    Gabrys, B.2
  • 20
    • 70449364091 scopus 로고    scopus 로고
    • Evolutionary model type selection for global surrogate modeling
    • D. Gorissen, T. Dhaene, and F. de Turck, "Evolutionary model type selection for global surrogate modeling," Journal of Machine Learning Research, vol. 10, pp. 2039-2078, 2009.
    • (2009) Journal of Machine Learning Research , vol.10 , pp. 2039-2078
    • Gorissen, D.1    Dhaene, T.2    De Turck, F.3
  • 22
  • 23
    • 34247558132 scopus 로고    scopus 로고
    • Preventing over-fitting during model selection via bayesian regularisation of the hyper-parameters
    • G. C. Cawley and N. L. C. Talbot, "Preventing over-fitting during model selection via bayesian regularisation of the hyper-parameters," Journal of Machine Learning Research, vol. 8, pp. 841-861, 2007.
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 841-861
    • Cawley, G.C.1    Talbot, N.L.C.2
  • 26
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the roc curve in the evaluation of machine learning algorithms
    • A. Bradley, "The use of the area under the roc curve in the evaluation of machine learning algorithms," Pattern Recognition, vol. 30, no. 7, pp. 1145-1159, 1997.
    • (1997) Pattern Recognition , vol.30 , Issue.7 , pp. 1145-1159
    • Bradley, A.1
  • 27
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classfifiers over multiple data sets
    • J. Demsar, "Statistical comparisons of classfifiers over multiple data sets," Journal of Machine Learning Research, vol. 7, pp. 1-30, 2006.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demsar, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.