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Volumn , Issue , 2001, Pages

Ensemble learning and linear response theory for ICA

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN FRAMEWORKS; ENSEMBLE LEARNING; INDEPENDENT COMPONENT ANALYSIS(ICA); LINEAR-RESPONSE THEORY; MEAN FIELD APPROACH; PRIOR DISTRIBUTION; STATISTICAL PHYSICS; TEMPORAL CORRELATIONS;

EID: 84898931059     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (14)
  • 2
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    • Maximum likelihood source separation by the expectation-maximization technique: Deterministic and stochastic implementation
    • A. Bclouchrani and J.-F. Cardoso: Maximum Likelihood Source Separation by the Expectation-Maximization Technique: Deterministic and Stochastic Implementation In Proc. NOLTA, 49-53 (1995).
    • (1995) Proc. NOLTA , pp. 49-53
    • Bclouchrani, A.1    Cardoso, J.-F.2
  • 5
    • 0001406440 scopus 로고
    • A mean field theory learning algorithm for neural networks
    • C. Peterson and J. Anderson: A Mean Field Theory Learning Algorithm for Neural Networks, Complex Systems 1, 995-1019 (1987).
    • (1987) Complex Systems , vol.1 , pp. 995-1019
    • Peterson, C.1    Anderson, J.2
  • 6
    • 0001000562 scopus 로고    scopus 로고
    • Efficient learning in boltzmann machines using linear-response theory
    • H. J. Kappen and F. B. Rodriguez: Efficient Learning in Boltzmann Machines Using Linear-Response Theory, Neural Computation 10, 1137-1156 (1998).
    • (1998) Neural Computation , vol.10 , pp. 1137-1156
    • Kappen, H.J.1    Rodriguez, F.B.2
  • 9
    • 84898974431 scopus 로고    scopus 로고
    • Tractable approximations for probabilistic models: The adaptive TAP mean field approach
    • Submitted to
    • M. Opper and O. Winthcr: Tractable Approximations for Probabilistic Models: The Adaptive TAP Mean Field Approach, Submitted to Phys. Rev. Lett. (2000).
    • (2000) Phys. Rev. Lett.
    • Opper, M.1    Winthcr, O.2
  • 10
  • 12
    • 0031124306 scopus 로고    scopus 로고
    • Analytical method for blind binary signal separation
    • A.-J. van der Veen: Analytical Method for Blind Binary Signal Separation IEEE Trans. on Signal Processing 45(4) 1078-1082 (1997).
    • (1997) IEEE Trans. on Signal Processing , vol.45 , Issue.4 , pp. 1078-1082
    • Van Der Veen, A.-J.1
  • 13
    • 0034133184 scopus 로고    scopus 로고
    • Learning overcomplete representations
    • M. S. Lewicki and T. J. Sejnowski: Learning Overcomplete Representations, Neural Computation 12, 337-365 (2000).
    • (2000) Neural Computation , vol.12 , pp. 337-365
    • Lewicki, M.S.1    Sejnowski, T.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.