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Volumn 9, Issue , 2010, Pages 453-460

Simple exponential family PCA

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN INFERENCE; BAYESIAN MODEL SELECTION; BAYESIAN PRINCIPAL COMPONENT ANALYSIS; BINARY VALUES; DATA REPRESENTATIONS; EXPONENTIAL FAMILY; EXPONENTIAL FAMILY DISTRIBUTIONS; GAUSSIAN DISTRIBUTED; MIXTURE MODEL; MODEL-BASED OPC; PRINCIPAL COMPONENTS;

EID: 84862276325     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (31)

References (18)
  • 4
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    • Data dimensionality estimation methods: A survey
    • Camastra, F., 2004. Data dimensionality estimation methods: A survey. Pattern Recognition 36, 2945-2954.
    • (2004) Pattern Recognition , vol.36 , pp. 2945-2954
    • Camastra, F.1
  • 6
    • 0001560954 scopus 로고
    • Information geometry and alternating minimization procedures
    • Csiszár, I., Tusnády, G., 1984. Information geometry and alternating minimization procedures. Statistics and Decisions, Supplement Issue 1, 205-237.
    • (1984) Statistics and Decisions , Issue.SUPPL. ISSUE 1 , pp. 205-237
    • Csiszár, I.1    Tusnády, G.2
  • 7
    • 77249156236 scopus 로고    scopus 로고
    • A mixture of experts model for rank data with applications in election studies
    • Gormley, I. C., Murphy, T. B., 2008. A mixture of experts model for rank data with applications in election studies. Annals of Applied Statistics 2 (4), 1452-1477.
    • (2008) Annals of Applied Statistics , vol.2 , Issue.4 , pp. 1452-1477
    • Gormley, I.C.1    Murphy, T.B.2
  • 9
    • 58149421595 scopus 로고
    • Analysis of a complex of statistical variables into principal components
    • Hotelling, H., 1933. Analysis of a complex of statistical variables into principal components. Journal of Educational Psychology 24, 417-441.
    • (1933) Journal of Educational Psychology , vol.24 , pp. 417-441
    • Hotelling, H.1
  • 12
    • 0001441372 scopus 로고
    • Probable networks and plausible predictions - A reivew of practical bayesian methods for supervised neural networks
    • MacKay, D. J. C., 1995. Probable networks and plausible predictions - a reivew of practical bayesian methods for supervised neural networks. Network: Computation in Neural Systems 6 (3), 469-505.
    • (1995) Network: Computation in Neural Systems , vol.6 , Issue.3 , pp. 469-505
    • MacKay, D.J.C.1
  • 13
    • 0003663926 scopus 로고
    • Vol. 37 of Monographs on statistics and applied probability. CRC Press
    • McCullagh, P., Nelder, J. A., 1989. Generalized Linear Models. Vol. 37 of Monographs on statistics and applied probability. CRC Press.
    • (1989) Generalized Linear Models
    • McCullagh, P.1    Nelder, J.A.2
  • 16
    • 0033556788 scopus 로고    scopus 로고
    • Mixtures of probabilistic principal component analyzers
    • Tipping, M. E., Bishop, C. M., 1999. Mixtures of probabilistic principal component analyzers. Neural Computation 11 (2), 443-482.
    • (1999) Neural Computation , vol.11 , Issue.2 , pp. 443-482
    • Tipping, M.E.1    Bishop, C.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.