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Volumn 10, Issue 7, 1998, Pages 1925-1938

Probability Density Estimation Using Entropy Maximization

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Indexed keywords


EID: 0001076043     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976698300017205     Document Type: Article
Times cited : (12)

References (11)
  • 1
    • 0001578518 scopus 로고
    • A learning algorithm for Boltzmann machines
    • Ackley, D. H., Hinton, G. E., & Sejnowski, T. J. (1985). A learning algorithm for Boltzmann machines. Cog. Sci., 9, 147-169.
    • (1985) Cog. Sci. , vol.9 , pp. 147-169
    • Ackley, D.H.1    Hinton, G.E.2    Sejnowski, T.J.3
  • 2
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • Bell, A. J., & Sejnowski, T. J. (1995). An information-maximization approach to blind separation and blind deconvolution. Neural Comp., 7, 1129-1159.
    • (1995) Neural Comp. , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 4
    • 0031122399 scopus 로고    scopus 로고
    • Infomax and maximum likelihood for source separation
    • Cardoso, J.-F. (1997). Infomax and maximum likelihood for source separation. IEEE Letters on Signal Processing, 4, 112-114.
    • (1997) IEEE Letters on Signal Processing , vol.4 , pp. 112-114
    • Cardoso, J.-F.1
  • 8
    • 0000772267 scopus 로고
    • Nonlinear neurons in the low noise limit: A factorial code maximizes information transfer
    • Nadal, J.-P., & Parga, N. (1994). Nonlinear neurons in the low noise limit: a factorial code maximizes information transfer. Network, 5, 565-581.
    • (1994) Network , vol.5 , pp. 565-581
    • Nadal, J.-P.1    Parga, N.2
  • 11
    • 0030241786 scopus 로고    scopus 로고
    • Multidimensional density shaping by sigmoids
    • Roth, Z., & Baram, Y. (1996). Multidimensional density shaping by sigmoids. IEEE Trans. on Neural Networks, 7, 1291-1298.
    • (1996) IEEE Trans. on Neural Networks , vol.7 , pp. 1291-1298
    • Roth, Z.1    Baram, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.