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Volumn , Issue , 2013, Pages 1121-1126

Quantitative prediction of glaucomatous visual field loss from few measurements

Author keywords

Clustering; Extrapolation; Multi task learning; Quantitative prognosis; Spatio temporal data

Indexed keywords


EID: 84894668808     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2013.93     Document Type: Conference Paper
Times cited : (12)

References (15)
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    • Katz, J.1    Sommer, A.2
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    • (1989) Archives of Ophthalmology , vol.107 , Issue.1 , pp. 81-86
    • Heijl, A.1    Lindgren, G.2    Olsson, J.3
  • 6
    • 0037848978 scopus 로고    scopus 로고
    • Variational learning of clusters of undercomplete nonsymmetric independent components
    • K. Chan, T.-W. Lee, and T. J. Sejnowski, "Variational learning of clusters of undercomplete nonsymmetric independent components," J. Mach. Learn. Res., vol. 3, pp. 99-114, 2003.
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  • 10
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    • (2012) Invest. Ophth. Vis. Sci. , vol.53 , Issue.6 , pp. 2760-2769
    • Russell, R.A.1    Malik, R.2    Chauhan, B.C.3    Crabb, D.P.4    Garway-Heath, D.F.5
  • 12
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    • Maximum likelihood from incomplete data via the em algorithm
    • A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. Roy. Stat. Soc. B. Met., vol. 39, no. 1, pp. 1-38, 1977.
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  • 14
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    • Pearson, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.