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Volumn 3512, Issue , 2005, Pages 787-794

Comparative assessment of the robustness of missing data imputation through generative topographic mapping

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; DATA REDUCTION; MATHEMATICAL MODELS; PERSONNEL TRAINING;

EID: 25144482321     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11494669_96     Document Type: Conference Paper
Times cited : (6)

References (17)
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    • Olinsky, A., Chen, S., Harlow, L.: The Comparative Efficacy of Imputation Methods for Missing Data in Structural Equation Modelling. Eur. J. Oper. Res. 151 (2003) 53-79
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    • Olinsky, A.1    Chen, S.2    Harlow, L.3
  • 3
    • 25144458813 scopus 로고    scopus 로고
    • Exploration of the ecological status of mediterranean rivers: Clustering, visualizing and reconstructing streams data using generative topographic mapping
    • Zanasi, A., Ebecken, N.F.F., Brebbia, C.A. (eds.)
    • Vicente, D., Vellido, A., Martí, E., Comas, J., Rodriguez-Roda, I.: Exploration of the Ecological Status of Mediterranean Rivers: Clustering, Visualizing and Reconstructing Streams Data Using Generative Topographic Mapping. In Zanasi, A., Ebecken, N.F.F., Brebbia, C.A. (eds.) Data Mining V. W.I.T. Transactions on Information and Communication Technologies, Vol.30 (2004) 121-130
    • (2004) Data Mining V. W.I.T. Transactions on Information and Communication Technologies , vol.30 , pp. 121-130
    • Vicente, D.1    Vellido, A.2    Martí, E.3    Comas, J.4    Rodriguez-Roda, I.5
  • 4
    • 0035342414 scopus 로고    scopus 로고
    • Robust automatic speech recognition with missing and unreliable acoustic data
    • Cooke, M.P., Green, P.D., Josifovski, L., Vizinho, A.: Robust Automatic Speech Recognition with Missing and Unreliable Acoustic Data. Speech Commun. 34 (2001) 267-285
    • (2001) Speech Commun. , vol.34 , pp. 267-285
    • Cooke, M.P.1    Green, P.D.2    Josifovski, L.3    Vizinho, A.4
  • 6
    • 11844297753 scopus 로고    scopus 로고
    • GTM-based data visualization with incomplete data
    • NCRG, Aston University, UK
    • Sun, Y., Tiňo, P., Nabney, I.: GTM-Based Data Visualization with Incomplete Data. Technical Report, NCRG, Aston University, UK (2001)
    • (2001) Technical Report
    • Sun, Y.1    Tiňo, P.2    Nabney, I.3
  • 7
    • 25144524903 scopus 로고    scopus 로고
    • Assessing the robustness of missing data imputation through generative topographic mapping
    • Olier, I., Vellido, A.: Assessing the Robustness of Missing Data Imputation Through Generative Topographic Mapping. ACIA Newsletter 31 (2004) 14-20
    • (2004) ACIA Newsletter , vol.31 , pp. 14-20
    • Olier, I.1    Vellido, A.2
  • 11
    • 0344110441 scopus 로고    scopus 로고
    • Developments of the generative topographic mapping
    • Bishop, C.M., Svensén, M., Williams, C.K.I.: Developments of the Generative Topographic Mapping. Neurocomputing 21 (1998) 203-224
    • (1998) Neurocomputing , vol.21 , pp. 203-224
    • Bishop, C.M.1    Svensén, M.2    Williams, C.K.I.3
  • 13
    • 0002704818 scopus 로고
    • A practical bayesian framework for back-propagation networks
    • Mackay, D.J.C.: A Practical Bayesian Framework for Back-Propagation Networks. Neural Comput. 4 (1992) 448-472
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    • Mackay, D.J.C.1
  • 14
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    • Reconstruction of sequential data with probabilistic models and continuity constraints
    • Solla, S.A., Leen, T.K., Müller, K.-R. (eds). MIT Press
    • Carreira-Perpiñan, M.A.: Reconstruction of Sequential Data with Probabilistic Models and Continuity Constraints. In: Solla, S.A., Leen, T.K., Müller, K.-R. (eds), Advances in Neural Information Processing Systems, Vol. 12. MIT Press (2000) 414-420
    • (2000) Advances in Neural Information Processing Systems , vol.12 , pp. 414-420
    • Carreira-Perpiñan, M.A.1
  • 15
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    • Learning from incomplete data
    • AI Laboratory, MIT
    • Ghahramani, Z., Jordan, M.I.: Learning from Incomplete Data. Technical Report, AI Laboratory, MIT (1994)
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    • Ghahramani, Z.1    Jordan, M.I.2
  • 16
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    • Mixture model clustering for mixed data with missing information
    • Hunt, L., Jorgensen, M.: Mixture Model Clustering for Mixed Data with Missing Information. Comput. Statist. Data Anal. 41 (2003) 429-440
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    • Robust mixture modelling using multivariate t-distribution with missing information
    • Wang, H.X., Zhang, Q.B., Luo, B., Wei, S.: Robust Mixture Modelling Using Multivariate t-Distribution with Missing Information. Pattern Recognit. Lett., 25 (2004) 701-710
    • (2004) Pattern Recognit. Lett. , vol.25 , pp. 701-710
    • Wang, H.X.1    Zhang, Q.B.2    Luo, B.3    Wei, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.