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Volumn , Issue , 2008, Pages 683-688

Optimization of self-organizing maps ensemble in prediction

Author keywords

[No Author keywords available]

Indexed keywords

BASE CLASSIFIERS; DATA-SETS; ERROR MEASURES; FAST LEARNING; FEATURE SUBSPACES; HIGH-DIMENSIONAL SPACES; KNOWLEDGE DISCOVERY PROCESS; PREDICTIVE CAPACITIES; RANDOM FORESTS; SELF-ORGANIZED MAPS;

EID: 62649156365     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (24)
  • 1
    • 62649163610 scopus 로고    scopus 로고
    • M. Verleysen, Limitations and future trends in neural computation. IOS Press, 2003, ch. Learning High-Dimensional Data, pp. 141-162.
    • M. Verleysen, Limitations and future trends in neural computation. IOS Press, 2003, ch. Learning High-Dimensional Data, pp. 141-162.
  • 3
    • 0003956665 scopus 로고
    • Analyse de données par réseaux de neurones auto-organisés,
    • Ph.D. dissertation, Institut National Polytechnique de Grenoble, France
    • P. Demartines, "Analyse de données par réseaux de neurones auto-organisés," Ph.D. dissertation, Institut National Polytechnique de Grenoble, France, 1994.
    • (1994)
    • Demartines, P.1
  • 5
    • 84865801454 scopus 로고    scopus 로고
    • Ensembles of learning machines
    • Neural Nets WIRN Vietri-02, Springer-Verlag
    • G. Valentini and F. Masulli, "Ensembles of learning machines," in Neural Nets WIRN Vietri-02, ser. LNCS. Springer-Verlag, 2002.
    • (2002) ser. LNCS
    • Valentini, G.1    Masulli, F.2
  • 6
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman, "Bagging predictors," Machine Learning, vol. 24, no. 2, pp. 123-140, 1996.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 8
    • 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
  • 9
    • 0001683059 scopus 로고
    • Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks
    • R. Jacobs, M. Jordan, and A. Barto, "Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks," Cognitive Science, vol. 15, pp. 219-250, 1991.
    • (1991) Cognitive Science , vol.15 , pp. 219-250
    • Jacobs, R.1    Jordan, M.2    Barto, A.3
  • 10
    • 84867038939 scopus 로고    scopus 로고
    • Experiments with classifier combining rules
    • Multiple Classifier Systems
    • R. Duin and D. Tax, "Experiments with classifier combining rules," in Multiple Classifier Systems, ser. LNCS, vol. 1857, 2000, pp. 16-29.
    • (2000) ser. LNCS , vol.1857 , pp. 16-29
    • Duin, R.1    Tax, D.2
  • 11
    • 10444221886 scopus 로고    scopus 로고
    • Diversity creation methods: A survey and categorisation
    • G. Brown, J. Wyatt, R. Harris, and X. Yao, "Diversity creation methods: a survey and categorisation," Information Fusion, vol. 6, no. 1, pp. 5-20, 2005.
    • (2005) Information Fusion , vol.6 , Issue.1 , pp. 5-20
    • Brown, G.1    Wyatt, J.2    Harris, R.3    Yao, X.4
  • 12
    • 0001942829 scopus 로고
    • Neural networks and the bias/variance dilemma
    • S. Geman, E. Bienenstock, and R. Doursat, "Neural networks and the bias/variance dilemma," Neural Computing, vol. 4, no. 1, pp. 1-58, 1992.
    • (1992) Neural Computing , vol.4 , Issue.1 , pp. 1-58
    • Geman, S.1    Bienenstock, E.2    Doursat, R.3
  • 13
    • 85054435084 scopus 로고
    • Neural network ensembles, cross validation, and active learning
    • A. Krogh and J. Vedelsby, "Neural network ensembles, cross validation, and active learning," in Advances in NIPS, vol. 7, 1995, pp. 231-238.
    • (1995) Advances in NIPS , vol.7 , pp. 231-238
    • Krogh, A.1    Vedelsby, J.2
  • 14
    • 62649111422 scopus 로고
    • Univ. of Texas, Tech
    • K. Tumer and J. Ghosh, Theoretical foundations of linear and order statistics combiners for neural pattern classifiers, Rep
    • K. Tumer and J. Ghosh, "Theoretical foundations of linear and order statistics combiners for neural pattern classifiers," Univ. of Texas, Tech. Rep., 1995.
    • (1995)
  • 15
    • 55149120824 scopus 로고    scopus 로고
    • Ensemble learning in linearly combined classifiers via negative correlation
    • M. Zanda, G. Brown, G. Fumera, and F. Roli, "Ensemble learning in linearly combined classifiers via negative correlation," in Proc. of MCS, 2007.
    • (2007) Proc. of MCS
    • Zanda, M.1    Brown, G.2    Fumera, G.3    Roli, F.4
  • 16
    • 44649117034 scopus 로고    scopus 로고
    • Quality measure based on Kohonen maps for supervised learning of large high dimensional data
    • E. Prudhomme and S. Lallich, "Quality measure based on Kohonen maps for supervised learning of large high dimensional data," in Proc. of ASMDA'05, 2005, pp. 246-255.
    • (2005) Proc. of ASMDA'05 , pp. 246-255
    • Prudhomme, E.1    Lallich, S.2
  • 17
    • 62649092040 scopus 로고    scopus 로고
    • Maps ensemble for semi-supervised learning of large high dimensional datasets
    • Toronto, Canada, May
    • -, "Maps ensemble for semi-supervised learning of large high dimensional datasets," in 17th ISMIS, Toronto, Canada, May 2008.
    • (2008) 17th ISMIS
  • 18
    • 25444484657 scopus 로고    scopus 로고
    • Managing diversity in regression ensembles
    • September
    • G. Brown, "Managing diversity in regression ensembles," Journal of Machine Learning Research, vol. 6, pp. 1621-1650, September 2005.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 1621-1650
    • Brown, G.1
  • 20
    • 84880868490 scopus 로고    scopus 로고
    • Genetic algorithm based selective neural network ensemble
    • Seattle, WA, Online, Available
    • Z.-H. Zhou, J.-X. Wu, Y. Jiang, and S.-F. Chen, "Genetic algorithm based selective neural network ensemble," in Proc. of the 17th IJCAI, vol. 2, Seattle, WA, 2001. [Online]. Available: citeseer.comp.nus. edu.sg/zhou01genetic.html
    • (2001) Proc. of the 17th IJCAI , vol.2
    • Zhou, Z.-H.1    Wu, J.-X.2    Jiang, Y.3    Chen, S.-F.4
  • 24
    • 33749469755 scopus 로고    scopus 로고
    • Tanagra : Un logiciel gratuit pour l'enseignement et la recherche
    • Actes de EGC'2005, 2
    • R. Rakotomalala, "Tanagra : un logiciel gratuit pour l'enseignement et la recherche," in Actes de EGC'2005, ser. RNTI-E-3, vol. 2, 2005, pp. 697-702.
    • (2005) ser. RNTI-E , vol.3 , pp. 697-702
    • Rakotomalala, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.