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Volumn 4507 LNCS, Issue , 2007, Pages 235-243

ViSOM ensembles for visualization and classification

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); MATHEMATICAL MODELS; TOPOLOGY; VISUALIZATION;

EID: 38049103592     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (20)
  • 4
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    • An Introduction to Boosting and Leveraging. Advanced Lectures on Machine Learning: Machine Learning Summer School 2002, Canberra, Australia
    • February 11-22, Revised Lectures, pp
    • Ron, M., Gunnar, R.: An Introduction to Boosting and Leveraging. Advanced Lectures on Machine Learning: Machine Learning Summer School 2002, Canberra, Australia, February 11-22, 2002. Revised Lectures, pp. 118-183 (2003)
    • (2002) , pp. 118-183
    • Ron, M.1    Gunnar, R.2
  • 5
    • 0345404396 scopus 로고    scopus 로고
    • Kohonen, T.: The Self-Organizing Map. Neurocomputing 21, 1-6 (1998)
    • Kohonen, T.: The Self-Organizing Map. Neurocomputing 21, 1-6 (1998)
  • 6
    • 0003410786 scopus 로고    scopus 로고
    • Department of Computer Science and Engineering. Helsinki University of Technology. Espoo, Finland
    • Kaski, S.: Data Exploration Using Self-Organizing Maps. Department of Computer Science and Engineering. Helsinki University of Technology. Espoo, Finland (1997)
    • (1997) Data Exploration Using Self-Organizing Maps
    • Kaski, S.1
  • 7
    • 0036789789 scopus 로고    scopus 로고
    • Data Visualisation and Manifold Mapping Using the Visom
    • Yin, H.: Data Visualisation and Manifold Mapping Using the Visom. Neural Networks 15, 1005-1016 (2002)
    • (2002) Neural Networks , vol.15 , pp. 1005-1016
    • Yin, H.1
  • 8
    • 0036128861 scopus 로고    scopus 로고
    • Visom - a Novel Method for Multivariate Data Projection and Structure Visualization. Neural Networks
    • Yin, H.: Visom - a Novel Method for Multivariate Data Projection and Structure Visualization. Neural Networks, IEEE Transactions 13, 237-243 (2002)
    • (2002) IEEE Transactions , vol.13 , pp. 237-243
    • Yin, H.1
  • 12
    • 3543075142 scopus 로고    scopus 로고
    • Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit
    • Corchado, E., MacDonald, D., Fyfe, C.: Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit. Data. Mining and Knowledge Discovery 8, 203-225 (2004)
    • (2004) Data. Mining and Knowledge Discovery , vol.8 , pp. 203-225
    • Corchado, E.1    MacDonald, D.2    Fyfe, C.3
  • 13
    • 0029307137 scopus 로고
    • A Nonlinear Projection Method Based on Kohonen's Topology Preserving Maps. Neural Networks
    • Kraaijveld, M.A., Mao, J., Jain, A.K.: A Nonlinear Projection Method Based on Kohonen's Topology Preserving Maps. Neural Networks, IEEE Transactions 6, 548-559 (1995)
    • (1995) IEEE Transactions , vol.6 , pp. 548-559
    • Kraaijveld, M.A.1    Mao, J.2    Jain, A.K.3
  • 14
    • 84898990528 scopus 로고    scopus 로고
    • Balancing between Bagging and Bumping. Advances in Neural Information Processing Systems 9
    • Heskes, T.: Balancing between Bagging and Bumping. Advances in Neural Information Processing Systems 9. In: Proceedings of the 1996 Conference 9, 466-472 (1997)
    • (1997) Proceedings of the 1996 Conference , vol.9 , pp. 466-472
    • Heskes, T.1
  • 15
    • 0036026248 scopus 로고    scopus 로고
    • A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems
    • Ruta, D., Gabrys, B.: A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems. Pattern Analysis and Applications 5, 333-350 (2002)
    • (2002) Pattern Analysis and Applications , vol.5 , pp. 333-350
    • Ruta, D.1    Gabrys, B.2
  • 19
    • 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


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.