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Volumn 4132 LNCS - II, Issue , 2006, Pages 361-370

Assessment of an unsupervised feature selection method for generative topographic mapping

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONFORMAL MAPPING; DATA PROCESSING; LEARNING SYSTEMS; PROBLEM SOLVING; REGRESSION ANALYSIS; TOPOLOGY;

EID: 33749818556     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11840930_37     Document Type: Conference Paper
Times cited : (9)

References (12)
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    • Wong, P.C.1
  • 4
    • 0003410791 scopus 로고    scopus 로고
    • Springer-Verlag, Berlin
    • rd edn. Springer-Verlag, Berlin (2000)
    • (2000) rd Edn.
    • Kohonen, T.1
  • 5
    • 4344602134 scopus 로고    scopus 로고
    • Simultaneous feature selection and clustering using mixture models
    • Law, M.H.C., Figueiredo, M.A.T., Jain, A.K.: Simultaneous Feature Selection and Clustering Using Mixture Models. IEEE T. Pattern Anal. 26(9) (2004) 1154-1166
    • (2004) IEEE T. Pattern Anal. , vol.26 , Issue.9 , pp. 1154-1166
    • Law, M.H.C.1    Figueiredo, M.A.T.2    Jain, A.K.3
  • 6
    • 32544451613 scopus 로고    scopus 로고
    • Robust analysis of MRS brain tumour data using t-GTM
    • Vellido, A., Lisboa, P.J.G., Vicente, D.: Robust Analysis of MRS Brain Tumour Data Using t-GTM. Neurocomputing 69(7-9) (2006) 754-768
    • (2006) Neurocomputing , vol.69 , Issue.7-9 , pp. 754-768
    • Vellido, A.1    Lisboa, P.J.G.2    Vicente, D.3
  • 7
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the em algorithm
    • Dempster, A.P., Laird, M.N., Rubin, D.B.: Maximum Likelihood from Incomplete Data via the EM Algorithm. J. Roy. Stat. Soc. B 39(1) (1977) 1-38
    • (1977) J. Roy. Stat. Soc. B , vol.39 , Issue.1 , pp. 1-38
    • Dempster, A.P.1    Laird, M.N.2    Rubin, D.B.3
  • 8
    • 0000335983 scopus 로고
    • Bayesian methods for back-propagation networks
    • Domany, E., van Hemmen, J.L., Schulten, K. (eds.): Springer, New York
    • MacKay, D.J.C.: Bayesian Methods for Back-Propagation Networks. In: Domany, E., van Hemmen, J.L., Schulten, K. (eds.): Models of Neural Networks III, Springer, New York (1994) 211-254
    • (1994) Models of Neural Networks III , pp. 211-254
    • MacKay, D.J.C.1
  • 10
    • 26444454606 scopus 로고    scopus 로고
    • Feature selection for unsupervised learning
    • Dy, J.G., Bradley, C.E.: Feature Selection for Unsupervised Learning. J. Mach. Learn. Res. 5 (2004) 845-889
    • (2004) J. Mach. Learn. Res. , vol.5 , pp. 845-889
    • Dy, J.G.1    Bradley, C.E.2
  • 12
    • 0034336489 scopus 로고    scopus 로고
    • Feature selection using probabilistic neural networks
    • Hunter, A.: Feature Selection Using Probabilistic Neural Networks. Neural Comput. Appl. 9 (2) (2000) 124-132
    • (2000) Neural Comput. Appl. , vol.9 , Issue.2 , pp. 124-132
    • Hunter, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.